研究者詳細 - 森江　隆

論文 - 森江　隆

分割表示322 件中 121 - 140 件目／全件表示 >>

Torus-doubling Process via Strange Nonchaotic Attractors 査読有り

T. Mitsui, S. Uenohara, T. Morie, Y. Horio, and K. Aihara

Physics Letters A 376 1907 - 1914 2012年05月

画像処理による道路状態・歩行者の認識,

森江隆, 石川聖二, 松岡　悟

光技術コンタクト ( 社団法人日本オプトメカトロニクス協会 ) 50 ( 6 ) 20 - 24 2012年04月

強誘電体ゲートトランジスタを用いたシナプス素子におけるSTDP機能の実証

.西谷雄, 金子幸広, 上田路人, 森江隆, 藤井映志

電子情報通信学会 NC研究会 111 ( 483 ) 203 - 207 2012年03月

A hierarchical extension of the HOG model implemented in the convolution-net for human detection

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

情報処理学会研究報告. MPS, 数理モデル化と問題解決研究報告 2012年02月

A Motion Detection Model Inspired by the Neuronal Propagation in the Hippocampus 査読有り

H. Liang, T. Morie

IEICE Trans. Fundamentals E95-A ( 2 ) 576 - 585 2012年02月

Obstacle detection using a moving camera 査読有り

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

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 767 - 770 2011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）

This paper proposes a method of detecting obstacles from a video taken by a moving camera mounted on a vehicle by background subtraction. The background subtraction is often used to detect moving objects when camera is static. But according to the characteristics of a road, we can also employ Gaussian mixture model to detect all objects (either static or moving objects) on the road in the case of moving camera. Then we use two consecutive image frames, and warps the first image according to the geometrical relationship between these two images. The road area is then extracted by comparing the warped image with the second image. Using this road area, we can delete all things which are not obstacles. In the performed experiments, it is shown that the proposed method is able to detect obstacles such as vehicles and pedestrians on a road. © 2011 ISAROB.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866717620&origin=inward

Moving objects detection at an intersection by sequential background extraction 査読有り

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

International Conference on Control, Automation and Systems 1752 - 1755 2011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）

Recently, there are many traffic accidents in turning right at an intersection. They are mainly caused by a driver's oversight of pedestrians and motorcycles that are occluded by oncoming cars. Therefore a system is necessary to detect moving objects such as oncoming cars and pedestrians at an intersection, and warn a vehicle driver. This paper describes a technique for detecting moving objects in turning right at an intersection when vehicle is stopping. Moving objects are detected by Mixture of Gaussians (MoG). In addition, we distinguish cars from pedestrians using the difference of the area size and the aspect ratio of detected objects. The object which is classified as a pedestrian is tracked using Lucas-Kanade Tracker. If the detected cars and pedestrians overlap or a car completely obscures pedestrians, we perform the estimation of pedestrian's location by using the information on past frames. By doing this, it is possible to detect pedestrians that drivers are actually difficult to see. The performance of the proposed technique was examined employing car videos and satisfactory results were obtained. © 2011 ICROS.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863041517&origin=inward

Extraction of individual pedestrians employing stereo camera images 査読有り

Kawabe M., Tan J., Kim H., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1744 - 1747 2011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）

A traffic accident occurs mainly because of carelessness of a driver. To prevent such an accident, many systems which detect pedestrians from vehicle are proposed. But most of these systems give a warning to a driver every time when a pedestrian is detected. The effect of warning becomes lower if the frequency of warning increases in a busy area. The objective of this study is to develop a technique for detecting pedestrians from a vehicle and to arrange them according to their potential risks by analyzing their behaviors. In this paper, we propose a technique for segmenting pedestrians employing stereo camera images to analyze a pedestrian's behavior. First, foreground regions are extracted employing background estimation using the mixture of Gaussian model. After extracting foreground regions in an input image, these regions are segmented by using the distance information. By using this method, each shape of the detected pedestrians can be obtained even when pedestrians are overlapping with each other. The proposed technique was examined experimentally employing real video images and satisfactory results were obtained. © 2011 ICROS.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863049839&origin=inward

Applying HOG feature to the detection and tracking of a human on a bicycle 査読有り

Jung H., Tan J., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1740 - 1743 2011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）

Detection of a human on a bicycle is an important research subject in an advanced safety vehicle driving system to decrease traffic accidents. The Histograms of Oriented Gradients (HOG) feature has been proposed as useful feature for detecting a standing human in various kinds of background. So, many researchers use currently the HOG feature to detect a human. Detecting a human on a bicycle is more difficult than detecting a human because a bicycle's appearance can change dramatically according to viewpoints. In this paper, we propose a method of detecting a human on a bicycle using HOG feature and RealAdaboost algorithm. When detecting a human on a bicycle, occlusion is a cause of decreasing detection efficiency. Occlusion is a serious matter in car vision research because there are occlusions in real transportation environment. We decide the next position of a human on a bicycle using object tracking. Experimental results and evaluation show satisfactory performance of the proposed method. © 2011 ICROS.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84856534795&origin=inward

A 1-D CMOS Pixel Circuit Array Implementing a Region-Based Coupled MRF Model for Coarse Image Region Segmentation 査読有り

H. Nishi, Y. Hata, K. Matsuzaka, K. Nakada, T. Morie

The 21st Annual Conference of the Japanese Neural Network Society (JNNS 2011) 210 - 211 2011年12月

Analysis of Associative Memory Operation in a VLSI Spiking Neural Network 査読有り

F. Maldonado H., H. Tanaka, T. Matsuo, T. Morie, K. Aihara

The 21st Annual Conference of the Japanese Neural Network Society (JNNS 2011) 208 - 209 2011年12月

A Motion Detection Model Inspired by Hippocampal Function and Its FPGA Implementation 査読有り

H. Liang T. Morie

18th Int. Conf. on Neural Information Processing (ICONIP2011) III ( 7064 ) 522 - 529 2011年11月

Fundamental Study on Spiking Neuron Devices 査読有り

T. Morie, H. Liang, Y. Sun, M. Igarashi, S. Samukawa

Proc. of the Eleventh Int. Symp. on Advanced Fluid Information and Transdisciplinary Fluid Integration (AFI/TFI 2011) 120 - 121 2011年11月

ナノディスクアレイ構造とCMOS回路を結合したスパイキングニューロンデバイス

梁海超, 森江隆, 孫意来, 五十嵐誠, 寒川誠二

電子情報通信学会ニューロコンピューティング研究会 111 ( 241 ) 125 - 129 2011年10月

Detection of Road Surface Condition Using Gabor Filter 査読有り

M. Tanaka, T. Morie, K. Iwase, T. Kume, S. Matsuoka, Y. Yamamoto

First Int. Symp. on Future Active Safety Technology toward zero-traffic-accident (FAST-zero '11) 20117341-1 - 20117341-5 2011年09月

Detecting a Human Body Direction Using Multiple-HOG 査読有り

Y. Nakashima, J. K. Tan, S. Ishikawa, T. Morie

First Int. Symp. on Future Active Safety Technology toward zero-traffic-accident (FAST-zero '11) 20117394-1 - 20117394-6 2011年09月

A CMOS Nonlinear-Map Circuit Array for Threshold-Coupled Chaotic Maps Using Pulse-Modulation Approach 査読有り

T. Morie, D. Atuti, K. Ifuku, Y. Horio, K. Aihara

European Conf. on Circuit Theory and Design (ECCTD 2011) 125 - 128 2011年08月

脳型情報処理デバイスの現状と今後の展開招待有り

森江隆, 梁海超, 孫意来, 田中秀樹, 五十嵐誠, 寒川誠二

応用物理学会シリコンテクノロジー分科会第140回研究集会 28 - 32 2011年08月

Analog CMOS Circuit Implementation of a System of Pulse-Coupled Oscillators for Spike-Based Computation 査読有り

K. Matsuzaka, K. Nakada, T. Morie

IEEE Int. Symp. on Circuits and Systems (ISCAS 2011) 2849 - 2852 2011年05月

画素並列ハードウェアのための曲率を有する主観的輪郭生成アルゴリズム

山口雄一郎,森江隆

電子情報通信学会 NC研究会 110 ( 461 ) 65 - 70 2011年03月

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