研究者詳細 - 森江　隆

論文 - 森江　隆

分割表示322 件中 101 - 120 件目／全件表示 >>

Sound Quality Improvement of Low Bit Rate Coded Audio Signals with Nonlinear Functions 査読有り

T. Yoshino, Y. Sato, H. Tamukoh, T. Morie

2014 RISP Int. Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2014) 237 - 240 2014年03月

Robustness to CMOS Device Mismatches of Time-domain Voltage/Current Sampling Circuits for Implementing Large-scale Coupled Nonlinear Dynamical Systems 査読有り

S. Uenohara, D. Atuti, K. Matsuzaka, H. Tamukoh, T. Morie

2014 RISP Int. Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2014) 93 - 96 2014年03月

Videotaped obstacle extraction from a moving camera 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T., Shinomiya T.

International Journal of Innovative Computing, Information and Control 10 ( 2 ) 717 - 728 2014年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

In automatic collision avoidance systems, the ability to detect obstacles is important. This paper proposes a method of automatic obstacles detection employing a camera mounted on a vehicle. Although various methods of obstacles detection have already been reported, they normally detect moving objects such as pedestrians and bicycles. In this paper, a method is proposed for detecting obstacles on a road, even if they are moving or static, by the use of background modeling and road region classification. Background modeling is often used to detect moving objects when a camera is static. In this paper, we apply it to a moving camera case in order to obtain foreground images. Then we calculate the camera motion parameters using the correspondence of feature points between two consecutive images and detect the road region using motion compensation. In this road region, we carry out regional classification. We can delete all objects which are not obstacles in the foreground images based on the result of the regional classification. In the performed experiments, it is shown that the proposed method is able to extract the shape of both static and moving obstacles in a frontal view from a car. © 2014 ISSN 1349-4198.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893413251&origin=inward

Classifying 2D and 3D objects on a road employing the road plane 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T., Shinomiya T.

Proceedings of the SICE Annual Conference 1689 - 1692 2013年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Obstacles detection is an important technology in autonomous collision avoidance systems. We have already proposed an obstacle detection method based on background modeling. But this method detects 2D and 3D objects simultaneously. Since these 2D objects are not dangerous to driving, they will reduce the accuracy of detection if they are detected as obstacles. In order not to detect these 2D objects, this paper proposes a method for classifying 2D objects and 3D objects. The proposed method first estimates the camera motion parameters from the correspondences of feature points between two successive images. We calculate the 3D positions of the feature points on a detected object in the world coordinate system using triangulation. Then we estimate the parameters of the road plane using 3D positions of those feature points. Finally we calculate the distances from the 3D positions of the feature points to the road plane. Based on these distances, we can classify 2D objects and 3D objects. Experimental results show satisfactory performance of the proposed method.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84888611260&origin=inward

Parameterized Digital Hardware Design of Pulse-coupled Phase Oscillator Model toward Spike-based Computing 招待有り査読有り

Y. Suedomi, H. Tamukoh, M. Tanaka, K. Matsuzaka, T. Morie

Proc. 20th Int. Conf. on Neural Information Processing (ICONIP2013) 2013年11月

A PWM-Mode CMOS Threshold-Coupled-Map Circuit Robust to Device Mismatches 査読有り

S. Uenohara, D. Atuti, K. Matsuzaka, H. Tamukoh, T. Morie, K. Aihara

Abs. Collection of the 2013 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA2013) 503 - 506 2013年09月

Road region estimation and obstacles extraction using a monocular camera 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T., Shinomiya T.

International Journal of Innovative Computing, Information and Control 9 ( 9 ) 3561 - 3572 2013年07月

記述言語：英語掲載種別：研究論文（学術雑誌）

An obstacles detection method is proposed which employs a camera mounted on a vehicle. Although various methods of obstacles detection have already been reported, they normally detect only moving obstacles and not static obstacles, and a detected obstacle is represented by a rectangular frame that surrounds this obstacle, which does not provide shape of the obstacle. In this paper, a method is proposed for detecting obstacles on a road, irrespective of moving or static, by use of background modeling and road region detection. The output of the proposed method is the shape of obstacles. Background modeling is often used to detect moving objects when a camera is static. In this paper, we apply it to a moving camera case in order to obtain foreground images. Then we extract the road region using SVM. In this road region, we carry out region classification. We can delete all the objects which are not obstacles in the foreground images based on the result of the region classification. In the performed experiments, it is shown that the proposed method is able to extract the shape of both static and moving obstacles when a car is driving. © 2013 ISSN 1349-4198.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84880054018&origin=inward

Experimental Distinction between Chaotic and Strange Nonchaotic Attractors on the Basis of Consistency 査読有り

Uenohara, T. Mitsui, Y. Hirata, T. Morie, Y. Horio, K. Aihara

Chaos 23 ( 2 ) 23110-1 - 23110-9 2013年05月

Obstacles extraction using a moving camera 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7729 LNCS ( PART 2 ) 441 - 453 2013年04月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

A method of automatic obstacles detection is proposed which employs a camera mounted on a vehicle. Although various methods of obstacles detection have already been reported, they normally detect moving objects such as pedestrians and bicycles. In this paper, a method is proposed for detecting obstacles on a road, irrespective of moving or static, by the employment of the background modeling and the road region classification. The background modeling is often used to detect moving objects when a camera is static. In this paper, we apply it to the moving camera case to get foreground images. Then we extract the road region using SVM. In this road region, we carry out region classification. Then we can delete all the things which are not obstacles in the foreground images using the result of the region classification. In the performed experiments, it is shown that the proposed method is able to extract the shapes of both static and moving obstacles in a frontal view from a car. © 2013 Springer-Verlag.

DOI： 10.1007/978-3-642-37484-5_36

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876011141&origin=inward

Gabor Features for Real-Time Road Environment Classification 査読有り

L. Mioulet, T. P. Breckon, A. Mouton, H. Liang, T. Morie

Proc. IEEE Int. Conf. on Industrial Technology (ICIT) 1117 - 1121 2013年02月

スパイクベース非線形演算のためのCMOS結合位相振動子回路

東原敬, 松坂建治, 西広海, 森江, 隆

電子情報通信学会 NLP研究会 112 ( 389 ) 137 - 142 2013年01月

FPGAにより制御される専用アナログチップを用いたスパイキングニューラルネットワークシステムの開発

前田道孝, Frank Maldonado H., 松尾貴之, 田中秀樹, 梁海超, 松坂建治, 森江隆, 合原一幸

電子情報通信学会 NC研究会 112 ( 390 ) 181 - 186 2013年01月

電圧・電流波形サンプリング方式によるしきい値結合カオス回路の設計

上ノ原誠二, 厚地泰輔, 松坂建治, 森江隆, 合原一幸

電子情報通信学会 NLP研究会 112 ( 389 ) 105 - 110 2013年01月

Obstacles Extraction from a Video Taken by a Moving Camera 査読有り

S. Qian, J. K. Tan, H. Kim, S. Ishikawa, and T. Morie

1st Int. Conf. on Connected Vehicles & Expo 2012年12月

知的センシグデバイスデバイスのための脳型処理モデルを実現するアナログ・ディジタル融合LSI 招待有り

森江隆, 秦佑輔、西広海、松坂建治

電気学会センサ・マイクロマシン部門大会, 第29回「センサ・マイクロマシンと応用システム」シンポジウム 2012年10月

LSI実装に向けたパルス結合位相振動子系に基づくスパイクベース演算

松坂建治, 田中秀樹, 大久保悟, 東原敬, 森江隆

電子情報通信学会 NC研究会 112 ( 227 ) 127 - 132 2012年10月

トマト果実自動収穫のためのKinectセンサを利用した果実・萼位置検出手法

栗谷康隆, 田中宙夫, 松原弘樹, 清水昌樹, 森江隆

画像の認識・理解シンポジウム IS1-76 2012年08月

A Hierarchical Extension of the HOG Model Implemented in the Convolution-net for Human Detection 査読有り

Y. Arakaki, H. Shouno, K. Takahashi, and T. Morie

IPSJ Transactions on Mathematical Modeling and Its Applications 5 ( 3 ) 54 - 62 2012年08月

Biologically-inspired Learning Device using Three-terminal Ferroelectric Memristor 査読有り

M. Ueda, Y. Kaneko, Y. Nishitani, T. Morie and E. Fujii

70th Device Research Conference 275 - 276 2012年06月

Bicycle Detection Using Pedaling Movement by Spatiotemporal Gabor Filtering 査読有り

K. Takahashi, Y. Kuriya, T. Morie

Int. J. of innovative Computing Information and Control 8 ( 6 ) 2012年06月

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