宮田　繁春 （ミヤタ　シゲハル）

コミュニケーション情報 byコメンテータガイド

• コメント

  カメラで得られた画像を工業製品の検査やラインの自動化に利用する研究、また交通標識を認識して運転者の支援を行う研究を行っています。

研究者情報

学位

• 工学博士（広島大学）

ホームページURL

https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200901060406912303

科研費研究者番号

• 60190790

J-Global ID

• 200901060406912303

研究キーワード

• 情報・通信工学   計測工学   Information and Communication Engineering   Electronic Measurements   

現在の研究分野（キーワード）

カメラで得られた画像を工業製品の検査やラインの自動化に利用する研究、また交通標識を認識して運転者の支援を行う研究を行っています。

研究分野

• ものづくり技術（機械・電気電子・化学工学） / 計測工学
• ものづくり技術（機械・電気電子・化学工学） / 通信工学

学歴

•         - 1986年   広島大学   工学研究科   システム工学
•         - 1986年   広島大学   Graduate School, Division of Engineering
•         - 1981年   広島大学   工学部   電気工学
•         - 1981年   広島大学   Faculty of Engineering

所属学協会

• 電子情報通信学会   

研究活動情報

論文

• Recognition of speed limits on speed-limit signs by using machine learning

  Shigeharu Miyata

  2017 24th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2017 2017- 25 1 - 9 2017年12月 [査読有り]
   

  This study describes a method for using a camera to automatically recognize the speed limits on speed-limit signs. This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP) feature quantities as information helpful for identification, then (2) an image processing method using Hue, Saturation and Value (HSV) color spaces for extracting the speed limit numbers on the identified speed-limit signs, and finally (3) a method for recognition of the extracted numbers using a neural network. The method of traffic sign recognition previously proposed by the author consisted of extracting geometric shapes from the sign and recognizing them based on their aspect ratios. This method cannot be used for the numbers on speed-limit signs because the numbers all have the same aspect ratios. This study focuses on considering the following three points. (1) Make it possible to detect only the speed-limit sign in an image of scenery using a single process focusing on the local patterns of speed limit signs. (2) Make it possible to separate and extract the two-digit numbers on a speed-limit sign in cases when the two-digit numbers are incorrectly extracted as a single area due to the light environment. (3) Make it possible to identify the numbers using a neural network by focusing on three feature quantities. This study also used the proposed method with still images in order to validate it.
• Recognition of Speed Limits on Speed-Limit Signs by Using Machine Learning

  宮田 繁春

  Proc. of 24th International Conference Mechatronics and Machine Vision in Practice 381 - 389 2017年11月 [査読有り]
  
  ダウンロード
• Autimatic Recognition of Speed Limits on Speed-Limit Signs by Using Machine Learning

  S. Miyata

  Journal of Imaging 3 25 1 - 18 2017年07月 [査読有り]
  
• 機械学習に基づく速度規制標識の検出と認識

  岡兼治; 宮田 繁春

  第15回情報科学技術フォーラム概要集 2016年09月
• Automated License Plate Detection using a Support Vector Machine

  Shigeharu Miyata; Kenji Oka

  2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV) 2016年 [査読有り]
   

  This paper proposes a new method of detecting license plates in images of vehicles where the license plate is shown, and reports the detection results when this method was applied to detection of license plates on vehicles in Japan. This license plate detection process detects only the edge vertical components, and the candidate license plates are narrowed down using the contours obtained by dilation and erosion processing and region fill processing. A SVM (Support Vector Machine) based on negative and positive examples is used to determine whether or not a candidate area is a license plate, and finally the position of the license plate is identified. This study examined how the license plate detection results in license plate and non-license plate images were affected by differences in aspect ratios, differences in brightness between the vehicle body and license plate, and the number of positive and negative examples used for learning. The effectiveness of this method was confirmed to yield a license plate detection rate of approximately 90%.
• サポートベクターマシンを利用したナンバープレートの自動検出

  岡 兼治; 宮田 繁春

  近畿大学工学部研究報告 49 49 47 - 52 近畿大学工学部研究報告 2015年12月 

  This paper proposes a new method of detecting license plates in images of vehicles where the license plate is shown, and reports the detection results when this method was applied to detection of license plates on vehicles in Japan. This license plate detection process detects only the edge vertical components, and the candidate license plates are narrowed down using the contours obtained by dilation and erosion processing and region fill processing. A SVM (Support Vector Machine) based on negative and positive examples is used to determine whether or not a candidate area is a license plate, and finally the position of the license plate is identified. This study examined how the license plate detection results in license plate and non-license plate images were affected by differences in aspect ratios, differences in brightness between the vehicle body and license plate, and the number of positive and negative examples used for learning. The effectiveness of this method was confirmed to yield a license plate detection rate of approximately 90%.
• 任意の位置の横すべり角零化DYC制御時の車両運動についての理論的考察

  酒井英樹; 宮田 繁春; 竹原 伸

  自動車技術会論文集 46 4 769 - 774 自動車技術会 2015年07月 [査読有り]
  
• Evaluation of Kinect Vision Sensor for Bin-Picking Application

  宮田 繁春

  Indian journal of research 4 6 84 - 88 2015年06月 [査読有り]
  
• Evaluation of Kinect Vision Sensor for Bin-Picking Applications Improved Component Separation Accuracy with Combined Use of Depth Map and Color Image

  Shigeharu Miyata; Yoshiyuki Yashiki

  2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV) 94 - 99 2014年 [査読有り]
   

  This report describes a problem involved with use of Kinect depth maps for robot picking of randomly stacked components, and also a solution to this problems. When Kinect is installed above stacked parts and processing is performed using only the obtained Kinect depth map information, there are cases when individual small metal components cannot be separately identified. So that the robot can reliably pick up a single component in these cases, this report demonstrates that in areas where the system incorrectly identifies multiple components as a single component, the addition of color image information and blob analysis of the color image results in accurate separation of the individual components, allowing a single item to be identified for picking.
• Method for Recognition of Numbers on Speed Limit Sign Utilizing an Eigen Space Method Based on the KL Transform

  S.Miyata; S.Takehara; H.Sakai

  International Journal of Material and Mechanical Engineering 2 4 65 - 73 2013年11月 [査読有り]
  
• 〈平成24年度活動報告〉自動車技術研究センター活動報告

  竹原 伸; 宮田 繁春; 黄 健; 樹野 淳也; 中村 一美; 米原 牧子

  近畿大学次世代基盤技術研究所報告 = Kinki University Research Institute of Fundamental Technology for Next Generation 4 14 - 19 近畿大学次世代基盤技術研究所 2013年06月
• Use of Deformale Tensegrity Structure as an Underwater Robot Body

  M.Shibata; T.Miyamura; N. Sakagami; S.Miyata

  Journal of Robotics and Mechatronics 25 5 804 - 811 2013年05月 [査読有り]
  
• 〈平成23年度活動報告〉自動車技術研究センター活動報告

  竹原 伸; 田中 一基; 宮田 繁春; 黄 健; 樹野 淳也; 中村 一美; 米原 牧子

  近畿大学次世代基盤技術研究所報告 = Kinki University Research Institute of Fundamental Technology for Next Generation 3 12 - 16 近畿大学次世代基盤技術研究所 2012年06月
• Method for Recognition of Numbers on Speed Limit Signs Utilizing an Eigen Space Method Based on the KL Transform

  Shigeharu Miyata; Shin Takehara; Hideki Sakai; Takahiro Ishikawa

  2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV) 377 - 382 2012年 

  This study explains that a method utilizing the eigen spaces obtained by the KL transform for automatic recognition by camera of the speed on a speed limit sign has the following advantages: it is robust in response to changes in intensity patterns caused by the direction the sign is facing and by the amount of light striking the sign, and it is able to reduce the recognition processing time by reducing the number of feature vector dimensions during analysis. The method for recognition of traffic signs previously proposed by the authors of this study was a method for recognition based on extracting geometric shapes from the sign and recognizing them based on their aspect ratios. As such, this method was not able to identify the numbers on a speed limit sign, all of which have identical aspect ratios. It will be shown that the method in this study is able to recognize nearly all speed limits indicated on traffic signs within several 100s of ms after image acquisition. This method was applied to still images and its effectiveness was verified from the perspective of the following requirements for providing accurate information concerning the vehicle surroundings to the driver: high processing speed, high recognition accuracy, detection of all detectable objects without omission, and robustness in response to changes in the surrounding environment and to geometric changes in the sign image as the vehicle approaches it.
• TRAFFIC SIGN RECOGNITION UTILIZING AN EIGEN SPACE METHOD BASED ON the KL TRANSFORM

  Shigeharu Miyata; Takahiro Ishikawa; Hitomi Nakamura; Shin Takehara

  MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2 452-453 2 876 - 882 2012年 

  This study explains that a method utilizing the eigen spaces obtained by the KL transform for automatic recognition by camera of the speed on a speed limit sign has the following advantages: it is robust in response to changes in intensity patterns caused by the direction the sign is facing and by the amount of light striking the sign, and it is able to reduce the recognition processing time by reducing the number of feature vector dimensions during analysis. The method for recognition of traffic signs previously proposed by the authors of this study was a method for recognition based on extracting geometric shapes from the sign and recognizing them based on their aspect ratios. As such, this method was not able to identify the numbers on a speed limit sign, all of which have identical aspect ratios. It will be shown that the method in this study is able to recognize nearly all speed limits indicated on traffic signs within several 100s of ms after image acquisition. This method was applied to still images and its effectiveness was verified from the perspective of the following requirements for providing accurate information concerning the vehicle surroundings to the driver: high processing speed, high recognition accuracy, detection of all detectable objects without omission, and robustness in response to changes in the surrounding environment.
• 〈平成22年度活動報告〉自動車技術研究センター活動報告

  竹原 伸; 宮田 繁春; 黄 健; 長谷川 誠; 樹野 淳也; 中村 一美; 米原 牧子

  近畿大学次世代基盤技術研究所報告 = Kinki University Research Institute of Fundamental Technology for Next Generation 2 12 - 14 近畿大学次世代基盤技術研究所 2011年06月
• Improvement of Adaptive Cruise Control Performance

  Shigeharu Miyata; Takashi Nakagami; Sei Kobayashi; Tomoji Izumi; Hisayoshi Naito; Akira Yanou; Hitomi Nakamura; Shin Takehara

  EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2010 29501 1 - 8 2010年 

  This paper describes the Adaptive Cruise Control system (ACC), a system which reduces the driving burden on the driver. The ACC system primarily supports four driving modes on the road and controls the acceleration and deceleration of the vehicle in order to maintain a set speed or to avoid a crash. This paper proposes more accurate methods of detecting the preceding vehicle by radar while cornering, with consideration for the vehicle sideslip angle, and also of controlling the distance between vehicles. By making full use of the proposed identification logic for preceding vehicles and path estimation logic, an improvement in driving stability was achieved.
• Automatic Path Search for Roving Robot Using Reinforcement Learning

  宮田 繁春; 中村 一美; 竹原 伸

  International Journal of Research and Surveys ICIC Express Letters 4 3(B) 885 - 892 ICIC international 2010年
• 運転時のインパネ操作における視認性評価

  中村 一美; 樹野 淳也; 田中 一基; 宮田 繁春; 竹原 伸

  日本人間工学会大会講演集 46 474 - 475 一般社団法人 日本人間工学会 2010年
• ROAD SIGN FEATURE EXTRACTION AND RECOGNITION USING DYNAMIC IMAGE PROCESSING

  Shigeharu Miyata; Akira Yanou; Hitomi Nakamura; Shin Takehara

  INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 5 11B 4105 - 4113 2009年11月 

  In the research field of intelligent transportation systems (ITS), various suggestions have been made concerning road signs which can be automatically recognized by driver-support systems. A most all of the methods proposed for road sign identification and recognition are processes performed using an instantaneously-acquired static image. As a result, the processing time is a problem. The method which this paper proposes assumes the use of an on-board camera, and involves processing of a dynamic image, allowing effective processing in case when the sign is temporarily hidden by another object. In addition, this paper proposes a simple algorithm for sign detection and recognition that reduces the amount of required calculation. In this paper, nine kinds of signs, such as "STOP," "NO ENTRY" and "NO PASSAGE" were prepared, each 1/3 the size of the actual signs. Experiments were then carried Out for recognition of these signs under various kinds of measurement conditions.
• Navigation and path search for roving robot using reinforcement learning

  Shigeharu Miyata; Akira Yanou; Shin Takehara

  Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 480 - 485 2009年 

  The robot technology is rapidly developing in recent years. In connection with this technology, a robot activity is expected in various places or various environments. Therefore, this study describes 1) how the location of the destination of the robot in real world is measured based on the image obtained by one camera and 2) how the robot is navigated to the destination where a user points out on the display, on which the forward scene is imaged. The cases where there are some obstacles on the way to the destination are considered. The roving robot tries to find the shortest way to the destination based on the information on the locations of the obstacles and the destination by using the reinforcement learning, which is a hopeful candidate in the autonomous control technique. In addition, the measurement method for the indicated location based on the image is described, the simulation result for the path search by using the reinforcement leaning is shown, and the experiment result of navigation in real field is shown. Finally, the main conclusions are summarized . © 2009 IEEE.
• Automatic path search for roving robot using reinforcement learning

  Shigeharu Miyata; Hitomi Nakamura; Akira Yanou; Shin Takehara

  2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 169 - 172 2009年 

  Rapid advances in robot technology have been made in recent years. In connection with these advances, robots are expected to be utilized in a variety of places and environments. This study describes 1) a method which allows a robot to measure the location of its destination in the real world based on an image obtained from a single camera, and 2) a method of navigating a robot to a destination which is selected by a user on a display showing the forward robot view. Consideration is also given to cases in which there are obstacles between the robot and the destination. Through the use of reinforcement learning, which is considered a promising candidate among autonomous control techniques, the roving robot tries to find the shortest way to the destination based on information concerning the locations of obstacles and the destination. This study also describes an image-based method of measuring a selected location, the results from a simulation of path finding using reinforcement learning, and the results from an experiment of navigation in a real environment. Finally, a summary of the main conclusions is provided. © 2009 IEEE.
• Improvement of adaptive cruise control performace

  宮田 繁春; 中村 一美; 竹原 伸

  Proceeding of International symposium on advance vehicle control 2008年10月
• Feature extraction and recognition for road sign using dynamic image processing

  Shigeharu Miyata; Akira Yanou; Hitomi Nakamura; Shin Takehara

  3rd International Conference on Innovative Computing Information and Control, ICICIC'08 2008年 

  In the research field of the intelligent transportation system (ITS) and the roving robot, the driver-support system auto-recognizing road sings and the robot control system auto-recognizing behavior-indication signs are variously suggested. Both systems use the dynamic image processing to acquire features such as the shape and design of sings. Artificial sings valid for the machine vision are sometimes used for these researches. However, in this study, the general road sings adopted in public roads are used, because machines such as robots and vehicles are supposed to live together in real environments. In this paper, nine kinds of sings one third in size such as "STOP," "NO ENTRY" and "NO PASSAGE" are prepared and then some experiments were carried out to recognize these signs under various kinds of measurement condition. © 2008 IEEE.
• 動画像処理を利用した道路標識の特徴抽出と認識

  宮田 繁春

  近畿大学工学部研究報告 41 125 - 131 近畿大学 2007年12月 

  In the field of research for the intelligent transportation system (ITS) and the roving robot, the driver-support system auto-recognizing road sings and the robot control system auto-recognizing behavior-indication signs are variously suggested. Both systems use the dynamic image processing to acquire features such as the shape and design of sings. Artificial sings valid for the machine vision are sometimes used for these researches. However, this study uses general road sings adopted in public roads, because machines such as robots and vehicles are supposed to be live together in real environments. In this paper, nine kinds of one third of sings for size such as "Stop," "No entry" and "No passage" are prepared, and then some experiments to recognize these signs are carried out under various kinds of measurement condition.
• 強化学習を用いた射影画像に対する画像照合

  宮田 繁春

  近畿大学工学部研究報告 40 149 - 153 2006年12月
• CCDカメラ画像に基づく移動ロボットの誘導と経路探索

  宮田 繁春

  近畿大学工学部研究報告 39 173 - 178 2005年12月
• 仮想物体操作のための指先軌跡の実時間追跡

  宮田 繁春; 街道建太

  近畿大学工学部研究報告 37 161 - 166 近畿大学工学部 2003年12月 

  実物体と仮想物体を総合的に扱うシステムの構築を目指して、机上に投影された物体に対して、マウスを使用しないで自身の指先で操作することのできるシステムの構築について述べている。
• 高次局所自己相関特徴に基づくニューラルネットワークによる顔識別

  宮田 繁春; 中田博之

  近畿大学工学部研究報告 36 36 171 - 178 近畿大学工学部 2002年12月 

  顔領域候補の抽出を色情報と形状情報の2段階で行う。色情報に関しては、類似度マップを作成しそれを基にラベリング処理を行う。形状情報に関しては、局所自己相関に基づく特徴量をニューラルネットワークに学習させ顔のパターンを抽出する。
• Development of a real-time range finder interpolating the parallax signals for surfaces

  Yutaka Tanaka; Akio Gofuku; Isaku Nagai; Shigeharu Miyata

  Mechatronics 12 6 875 - 889 2002年07月 

  In order to apply "eyes" to an autonomous running vehicle, a real-time range finder has been developed that can measure both the distance to every point on a plane without any pattern and its inclination. Although it seems contrary to the fact that the parallax is inversely proportional to the distance, this paper derives the mathematical ground that a plane in a real 3-D space (X,Y,Z) is mapped also into the plane in a spatial parallax (x,y, Δx). On this basis, an electronic circuit has been manufactured which can compute in video rate the interpolation value between the parallaxes at two characteristic points by using several programmable logic devices. It has also been demonstrated that this device is applicable to the measurements of the slant angles of and the directions normal to a simple plane or a slightly curved surface. © 2002 Elsevier Science Ltd. All rights reserved.
• 高次局所自己相関特徴を用いたカラー画像からの顔検出

  宮田 繁春; 中田博之

  近畿大学工学部研究報告 35 35 111 - 117 近畿大学工学部 2001年12月 

  本報告では、 4 種類の表色素に対して類似度マップを作成しラベリング処理によりまむ肌色をもつ顔領域候補を選択しその特徴量を高次局所自己相関を用いて求める。 次にこの特徴量をフィッシャーの線形判別法によって判別し顔のみを検出できることを示した。
• ファジィ信号処理を用いた色識別システム

  宮田 繁春; 松野裕介

  近畿大学工学部研究報告 34 93 - 100 近畿大学 2001年01月 

  人間と機械とのインタフェース的な観点から､ CCD センサから取り込まれた色に対して人間が抱く色彩感覚表現で出力表現できる感情色識別システムを提案した｡
• Simplified determination for the order of series type probability expression under introducing tolerance range and its application to traffic noise

  Noboru Nakasako; Mitsuo Ohta

  Acoustical Science and Technology 22 5 358 - 363 2001年 [査読有り]
   

  In the actual sound environment, the objective system often exhibits the non-Gaussian property, owing to physical, social and psychological factors. Many kinds of probability distributions have been proposed from various viewpoints to describe the probabilistic property of complicated random phenomena. Sometimes, a probability distribution of orthogonal series expansion type, which takes the well-known probability distribution (e.g., Gaussian, binomial distributions, etc.) as the first term and reflects the lower and higher order statistics in the expansion terms is also utilized. This paper describes a practical trial to choose the permissible order of series expansion, especially by introducing a pre-established tolerance range for the deviation of the theoretical cumulative probability from the experimental one. The minimal number of expansion terms can be rationally determined so as to satisfy the tolerance range. Finally, the effectiveness of this method is experimentally confirmed by applying it to the environmental noise.
• A fundamental consideration on the stochastic blind signal separation based on the rotational transformation and a measure of statistical independency

  Noboru Nakasako; Hisanao Ogura; Mitsuo Ohta

  Journal of the Acoustical Society of Japan (E) (English translation of Nippon Onkyo Gakkaishi) 21 1 49 - 52 2000年 [査読有り]
  
• Practical and probabilistic evaluation method of sound insulation systems based on the extended regression analysis for roughly observed data

  Noboru Nakasako; Yasuo Mitani; Mitsuo Ohta

  Journal of the Acoustical Society of Japan (E) (English translation of Nippon Onkyo Gakkaishi) 19 6 391 - 396 1998年 [査読有り]
   

  This paper describes a new trial to estimate the statistical input-output relationship of complicated sound insulation systems in an actual situation when the input-output data are roughly observed due to the level-quantization mechanism of measuring equipment, especially from a practical viewpoint. Then, the output probability distribution for another kind of input can be predicted by using the estimated regression relationship. Finally, the effectiveness of the proposed method is experimentally confirmed by applying it to the actually observed data.
• Identification and probabilistic response prediction methods for actual sound insulation systems contaminated by background noise

  Noboru Nakasako; Mitsuo Ohta

  Journal of the Acoustical Society of Japan (E) (English translation of Nippon Onkyo Gakkaishi) 19 2 113 - 120 1998年 [査読有り]
   

  In the actual situation, it is very difficult to evaluate the complicated sound environment only by using the lower order statistics of intensity such as Leq. In the actual acoustic measurement, a background noise always contaminates observation values and the statistics of the background noise are usually unknown. In this paper, the statistical independency between the acoustic signal and the background noise is introduced as an evaluation criterion to identify the sound insulation systems. That is, by considering the sound insulation wall as a linear system on an intensity scale, the system parameters are estimated on the basis of the statistical information from the lower to the higher orders, instead of employing the artificial evaluation criterion such as the least squares error method. Then, the output probability can be easily predicted by using the estimated parameters of the sound insulation system when the other input noise passes through the same insulation system. Finally, the validity and effectiveness of the proposed method are experimentally confirmed by applying it to the actually observed data.
• Precise estimation method of probability distribution based on roughly observed data with quantized level and its application to environmental sound noise measurement

  Yasuo Mitani; Noboru Nakasako; Mitsuo Ohta

  Journal of the Acoustical Society of Japan (E) (English translation of Nippon Onkyo Gakkaishi) 18 4 183 - 190 1997年 [査読有り]
   

  The noise fluctuation is very often measured in a quantized level form at a discrete time interval. By paying attention to this quantization procedure of the actual noise measurement, in this paper, a precise estimation method for the probability distribution form is proposed by using the roughly observed data with quantized levels. That is, we first introduce theoretically a general statistical orthonormal expression of the probability density function for the original noise level fluctuation of continuous level type before passing through the level quantization measurement mechanism. Based on this quantization mechanism and the averaging operation of statistical information, we propose a reasonable estimation method of the distribution parameters in the above statistical expression by using the statistical information on the roughly observed data. The original probability distribution form of the continuous noise level can be precisely estimated by substituting the estimated distribution parameters into the introduced probability expression of general type. On the basis of this estimation theory, a precise evaluation method for the Lx and Leq noise evaluation indices is proposed. The effectiveness of the proposed method is confirmed experimentally too by applying it to first the simulation experiment and then the actual road traffic noise data.
• A practical method of predicting Leq by use of Lx data for road traffic noise based on the introduction of probabilistic neural networks

  Noboru Nakasako; Mitsuo Ohta

  Journal of the Acoustical Society of Japan (E) (English translation of Nippon Onkyo Gakkaishi) 17 1 27 - 32 1996年 [査読有り]
   

  This paper presents a practical prediction or transformation method from Lx data to Leq value, especially for the road traffic noise at night with a small traffic volume. The nonlinear relationship between Lx and Leq is grasped in principle by introducing a probabilistic neural network. Finally, the validity of the proposed method is experimentally confirmed too by applying it to the actually observed road traffic noise at night. © 1996, Acoustical Society of Japan. All rights reserved.
• A STOCHASTIC RESPONSE EVALUATION USING THE DIGITAL-FILTER SUPPORTED BY METHOD FOR A DOUBLE-WALL-TYPE SOUND INSULATION SYSTEM EXCITED BY THE ACTUAL MUSIC SOUND

  S MIYATA; M OHTA

  JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 98 3 1472 - 1485 1995年09月 [査読有り]
   

  Recently, for the purpose of reducing a residential environmental noise, many sound insulation systems are often improved acoustically by changing their geometrical scales and/or acoustical characteristics. In this paper, in a direct connection with the stochastic signal information processing along a real physical time, a practical method of identification and probabilistic prediction for insulation systems are theoretically and experimentally proposed in the object-oriented expression forms by functionally introducing a few system parameters. These functional system parameters are supported by many physical structural factors in close relation to the well-known statistical energy analysis (SEA) method. First, a new trial of identification of the above functional system parameters and the output probabilistic prediction for a geometrical change of double-wall-type sound insulation system altered by the above improvement work, especially under the existence of a strong background noise, is theoretically proposed as one of the wide sense digital filters. Finally, by using the actual music sound as one of the arbitrary random inputs, the effectiveness of the proposed method is confirmed experimentally too by applying it to some problems of predicting a cumulative probability distribution of the transmitted sound level fluctuation. (C) 1995 Acoustical Society of America.
• 超音波画像処理におけるSpeckleパターンのRician分布に対する一般化とShannonの信号空間における酔歩問題 : 画像応用

  太田 光雄; 宮田 繁春

  テレビジョン学会技術報告 15 30 1 - 8 一般社団法人 映像情報メディア学会 1991年 

  超音波B-モード画像上には、複雑な斑紋状のパターン(スペックル・パターン)が現われる。このスペックル・パターンを統計信号処理の手法により解析しておくことは超音波画像診断の意味からしても重要なことである。本報告では、生体内の秩序・無秩序部分から発生したスペックル画像のメカニズムを、ShannonのN次元信号空間内に於ける酔歩モデルとして捉え、新たにHankel変換型特性関数を導入することにより、各要素酔歩ベクトルの合成に対する揺らぎ分布を理論的に導く。更に、これが公知のRay1eigh分布、Rician分布をスペシャル・ケースとして内包することを証明した後、実験的な確認をも行なった。
• A CONSIDERATION ON GENERALIZED RICIAN DISTRIBUTION EXPRESSION FOR THE SPECKLE PATTERN ON THE ULTRASOUND B-SCAN AND ITS EXPERIMENTAL CONFIRMATION

  S MIYATA; M OHTA

  IECON 91, VOLS 1-3 2125 - 2130 1991年 [査読有り]
  
• Spatial correlation and probabilistic evaluation of fluctuations at two observation points in a diffuse sound field

  Mitsuo Ohta; Noboru Nakasako

  Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 72 12 1 - 12 1989年 [査読有り]
   

  Fluctuations at two observation points in a diffused sound field vary with correlations. In actual acoustic measurements, a sound level meter with a time constant is often used for a white noise input with a frequency bandwidth. Hence, fluctuations of the sound intensity must be considered first. Numerous studies have been reported on the probability density function and the spatial correlation in a diffuse sound field. How‐ever, the former is limited to a single variate distribution while the latter is restricted to the linear correlation of fluctuations. In this paper, the joint probability distribution of the fluctuations of the sound intensity is derived first so that various linear and nonlinear correlation effects between the fluctuations at two observation points are found in connection with the well‐known T‐type probability distribution at in dividual observation point. the resultant distribution expression is a two‐variate joint T distribution for which the arbitrary frequency bandwidth of the input and the effects of square function and arbitrary time constant of the measurement device are reflected structurally in each statistical parameter. Further, to distinguish all correlations between fluctuations at the two observation points A and B, the conditional probability density function on the fluctuation at the point A is derived in the case where a conditioned level is set at the point B. Finally, the present method is applied to the fluctuation data of sound measured in a reverberant room so that the actual usefulness is confirmed. Copyright © 1989 Wiley Periodicals, Inc., A Wiley Company
• Two probabilistic evaluation methods for single and double walls type sound insulation systems with arbitrary random noise excitation

  Mitsuo Ohta; Noboru Nakasako

  Journal of the Acoustical Society of Japan (E) 7 6 335 - 342 1986年 [査読有り]
   

  In the practical engineering field of noise control, it is as important as the sound source countermeasure to improve the sound propagation characteristics by newly setting a sound insulation system. On the other hand, the noise statistics like an Lx (x=5, 10, 50, 90, …) defined as a (100—x) percentage point of the sound level distribution are very important as well as the lower order energy moment statistics like an Leqin the actual noise evaluation and regulation problems. In this paper, two kinds of probabilistic evaluation methods for sound insulation systems are theoretically proposed from typically different points of view for the probability distribution of the transmitted sound intensity, when a general stationary random noise having an arbitrary distribution form and frequency characteristics is insulated by a wall. To evaluate its sound transmission coefficient, a somewhat modified statistical energy analysis method has been used. The validity of the theoretical results is experimentally confirmed by applying it to the actually observed data on the output response fluctuation of single and double walls type insulation systems inserted between two reverberation rooms. © 1986, Acoustical Society of Japan. All rights reserved.
• THE EFFECT OF AN ARBITRARY FREQUENCY-SPECTRUM ON THE TIME FLUCTUATION PROBABILITY OF SOUND POWER IN A REVERBERATION ROOM

  M OHTA; S MIYATA

  ACUSTICA 59 3 167 - 176 1986年01月 [査読有り]
  
• A practical probabilistic evaluation method for actually complicated insulation systems based on linear and/or non-linear regression models between observed input and output data of the system

  Mitsuo Ohta; Noboru Nakasako

  Journal of the Acoustical Society of Japan (E) 6 2 127 - 134 1985年 [査読有り]
   

  Until now, the output probability distribution prediction for the sound insulation system was investigated by many researchers based on two contrastive structural and descriptive approaches especially from a methodological viewpoint. The descriptive method is certainly more suitable for the complicated stituation of actual sound insulation systems with an arbitrary distribution type random excitation. In this paper, especially by paying our attention to the effective information on the remainder fluctuation around the formally introduced linear regression, a simplified identification method for an arbitrary sound insulation system and then a simple prediction method for its output probability distribution have been proposed. More concretely, by introducing new types of linear and/or non-linear regression models between input and output fluctuations, their system parameters can be identified by use of the well-known least squares error method or its generalized error criterion. Furthermore, in an actual case with an existence of background noise, the effect and simple removal countermeasures of background noise are also discussed. The effectiveness of our identification and prediction methods is experimentally confirmed too by applying them to the actual living environment. © 1985, Acoustical Society of Japan. All rights reserved.
• A study on the effect of direct sound component on the probabilistic evaluation in the reverberant sound field by use of characteristic function method

  Mitsuo Ohta; Shigeharu Miyata

  Journal of the Acoustical Society of Japan (E) 6 2 61 - 71 1985年 [査読有り]
   

  In this paper, how the output probability distribution form of sound energy is affected by the frequency width W of random input, the time constant T of sound level meter, the reverberation property of room and the existence of direct sound component is theoretically and experimentally considered, especially from the fundamental viewpoint by use of characteristic function method of probability. In two special cases with no signal component and a signal component of narrow frequency band, the proposed theory agrees with the well-known probability distribution expression derived previously in the field of room acoustics. Finally, by actually applying the above theory to the sound energy fluctuation observed in the diffused sound room, the legitimacy and the validity of theory are experimentally confirmed too. © 1985, Acoustical Society of Japan. All rights reserved.
• A PROBABILISTIC EVALUATION METHOD FOR THE EFFECT OF DIRECT SOUND ON THE DIFFUSENESS OF REVERBERANT SOUND FIELD FROM THE VIEWPOINT OF AN N-DIMENSIONAL SIGNAL SPACE

  M OHTA; S MIYATA

  ACUSTICA 58 2 75 - 82 1985年 [査読有り]
  

書籍

• 「人工知能」人工知能の導入による生産性、効率性の向上、新製品開発への応用

  宮田 繁春 (担当:分担執筆範囲:)技術情報協会 2018年05月
• Image Processing(ISBN 978-953-307-026-1)

  宮田 繁春 (担当:単著範囲:)In-Tech 2009年12月
• Digital Signal Processing for Communication Systems

  宮田 繁春 Kluwer AcademicPublishers 1997年05月

講演・口頭発表等

• テンセグリティ構造を利用した小型水中ロボットの開発  [通常講演]

  柴田 瑞穂; 宮田 繁春

  SICE SI 2012 2012年12月 SICE SI 2012
  
• Method for recognition of numbers on speed limit signs utilizing an eigen space method based on the KL transform  [通常講演]

  宮田 繁春; 竹原 伸; 酒井 英樹

  12th International conference on Control, Automation, Robotics and Vision(ICARCV 2012) 2012年12月 Guangzhou, China 12th International conference on Control, Automation, Robotics and Vision(ICARCV 2012)
   

  KL変換に基づく部分空間法の考え方を適用して標識の速度表示を認識するための方法について論じた。
• KL変換に基づく固有空間法を用いた最高速度制限標識の文字認識  [通常講演]

  宮田 繁春; 竹原 伸; 酒井 英樹

  第１１回情報科学技術フォーラム（FIT2012） 2012年09月 東京 第１１回情報科学技術フォーラム（FIT2012）
   

  KL変換に基づく部分空間法の考え方を適用して、標識の速度表示を認識するための処理法について論じた。
• 自動車室内の操作性・快適性に関する研究  [通常講演]

  中村 一美; 樹野 淳也; 米原 牧子; 宮田 繁春; 竹原 伸

  第14回日本感性工学会大会 2012年08月 東京 第14回日本感性工学会大会
  
• 次世代自動車技術への取り組み ～ 快適性の向上を目指して ～  [通常講演]

  中村 一美; 樹野 淳也; 米原 牧子; 宮田 繁春; 竹原 伸

  第14回日本感性工学会大会 2012年08月 東京 第14回日本感性工学会大会
  
• 視覚の誘導場による画面上の文字配置と視認性の関連性  [通常講演]

  宮田 繁春; 中村 一美

  電子情報通信学会 2012年03月 岡山 電子情報通信学会
   

  カーナビ画面の文字配置が視認性に及ぼす影響について論じている。
• 視覚の誘導場による画面上の文字配置と視認性との関連性  [通常講演]

  宮田 繁春; 中村 一美

  日本機械学会中国四国支部 2012年03月 広島 日本機械学会中国四国支部
   

  カーナビの視認性について論じている。
• Traffic Sign Recognition Utilizing an Eigen Space Method Based on the KL Transform  [通常講演]

  宮田 繁春; 中村一美; 竹原 伸

  2011 International Conference on Management Manufacturing and Materials Engineering 2011年12月 Zhengzhou, China 2011 International Conference on Management Manufacturing and Materials Engineering
   

  道路標識を認識する新たな方法論について論述している。
• 自動車運転時の情報提示方法の検討 － タッチパネルのボタンの明度・色相について  [通常講演]

  中村 一美; 西原 健太; 樹野 淳也; 米原 牧子; 宮田 繁春; 竹原 伸

  日本人間工学会第52回大会 2011年06月 日本人間工学会第52回大会
  
• 揺れを伴う動画像に対する道路標識の特徴抽出と認識  [通常講演]

  宮田 繁春

  日本機械学会中国四国支部 2011年03月 岡山 日本機械学会中国四国支部
   

  道路標識の認識を行う場合、搭載カメラが揺れたときに認識に及ぼす影響について論じている。
• 運転時のインパネ操作における視認性評価  [通常講演]

  中村 一美; 樹野 淳也; 田中 一基; 宮田 繁春; 竹原 伸

  日本人間工学会第51回大会 2010年06月 日本人間工学会第51回大会
  
• 仮想物体操作のための指先軌跡の実時間追跡  [通常講演]

  宮田 繁春; 街道建太

  日本機械学会2003 年度次大会講演論文集Vol. Ⅶ（徳島） 2003年12月 日本機械学会2003 年度次大会講演論文集Vol. Ⅶ（徳島）
   

  カメラで捕えた指先の位置情報は机上の投影物体を移動させたりするための入力として直接利用することができるため、指先の追跡処理をどのようにしたらよいのかについて考え、そのソフトウェアルゴリズムについて検討している。

MISC

• 任意の位置の横すべり角零化DYC制御時の車両運動についての理論的考察 : 後輪のコーナリングフォースや車両応答時定数に横すべり角零化位置が及ぼす影響

  酒井 英樹; 宮田 繁春; 竹原 伸 近畿大学次世代基盤技術研究所報告 = Annual report of Research Institute of Fundamental Technology for Next Generation, Kindai University 7 95 -100 2016年
• H-027 速度規制標識の検出に対する機械学習に用いる特徴量の検討(H分野:画像認識・メディア理解,一般論文)

  岡 兼治; 宮田 繁春 情報科学技術フォーラム講演論文集 14 (3) 189 -190 2015年08月
• 916 1/10EVを利用した衝突回避の検証(ロボティクス・メカトロニクスVI+情報・知能・精密機器)

  坂井 慎也; 宮田 繁春; 竹原 伸 講演論文集 2015 (53) "916 -1"-"916-2" 2015年02月
• H-004 Kinectの距離画像とカラー画像の併用による部材の分離精度向上(H分野:画像認識・メディア理解,一般論文)

  宮田 繁春; 矢式 良行 情報科学技術フォーラム講演論文集 13 (3) 73 -74 2014年08月
• I-001 KL変換に基づく固有空間法を用いた最高速度制限標識の文字認識(画像特徴・検出,I分野:グラフィクス・画像)

  宮田 繁春; 竹原 伸; 酒井 英樹 情報科学技術フォーラム講演論文集 11 (3) 227 -232 2012年09月
• 712 視覚の誘導場による画面上の文字配置と視認性との関連性(情報・知能・精密機器I)

  西原 健太; 宮田 繁春; 中村 一美 講演論文集 2012 (50) 71201 -71202 2012年02月
• 1105 CCDカメラ画像に基づく移動ロボットの誘導と経路探索(情報・知能・精密機器I)

  石風呂 裕一; 宮田 繁春 講演論文集 2005 (43) 401 -402 2005年02月
• 1107 レーザポインタ4点追跡による3次元位置情報取得(情報・知能・精密機器I)

  街道 建太; 宮田 繁春 講演論文集 2005 (43) 405 -406 2005年02月
• テンプレートマッチングによる段階的画像照合

  宮田 繁春; 妹尾 修司 近畿大学工学部研究報告 38 183 -188 2004年12月
• 球面上の2点追跡による3次元情報取得インタフェース

  宮田 繁春; 街道 建太 近畿大学工学部研究報告 38 177 -182 2004年12月
• 球面上の2点追跡による3次元情報取得インタフェース(情報・知能・精密機器I)

  街道 建太; 浅井 孝行; 宮田 繁春 講演論文集 2004 (42) 423 -424 2004年03月
• 1306 複雑な背景をもつカラー画像からの顔認識

  中田 博之; 宮田 繁春 講演論文集 2002 (40) 437 -438 2002年02月
• 高次局所自己相関特徴に基づくニューラルネットワークによる顔識別

  宮田 繁春; 中田 博之 電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解 101 (421) 39 -46 2001年11月
• A STUDY ON THE STATISTICAL CHARACTERISTICS OF SPECKLE IN ULTRASONIC B-MODE IMAGING

  S MIYATA; M OHTA; K ITO; K HAYAMI; K NAITO; Y KOTERA ACUSTICA 81 (1) 84 -89 1995年01月
• A SIGNAL INFORMATION-PROCESSING FOR THE STOCHASTIC RESPONSE PREDICTION OF DOUBLE-WALL TYPE SOUND INSULATION SYSTEM

  M OHTA; S MIYATA IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E77A (7) 1194 -1198 1994年07月
• A stochastic signal processing method for removing a wind noise based on the wide sense digital filter in a low frequency sound measurement

  Mitsuo Ohta Journal of the Acoustical Society of Japan (E) 15 (6) 397 -401 1994年
• Generalization of Rician distribution for speckle pattern in ultrasound image processing and random flights problem in Shannon's signal space

  Mitsuo Ohta; Shigeharu Miyata; Noboru Nakasako Journal of the Acoustical Society of Japan (E) 13 (2) 101 -113 1992年
• A COMPARISON OF DIFFERENT FLUCTUATION PROBABILITY-EXPRESSIONS BASED ON THE DB SCALE MEASUREMENT OF THE NOISE ENVIRONMENT OF ROAD TRAFFIC

  M OHTA; S MIYATA; O NAGANO ACUSTICA 73 (5) 263 -270 1991年05月
• A PROBABILISTIC METHOD FOR THE EVALUATION OF SOUND INTENSITY FLUCTUATIONS IN AN ABSORBENT REVERBERATION ROOM

  M OHTA; S MIYATA; Y KOTERA ACUSTICA 71 (2) 147 -151 1990年06月

共同研究・競争的資金等の研究課題

• 画像解析
• Image Analysis

その他のリンク

researchmap

https://researchmap.jp/read0033972