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Paper Abstract and Keywords
Presentation 2015-06-25 13:20
An LSI Implementation of a Neural Network Model for Detecting Local Image Motion in the Visual Cortex
Hisanao Akima, Satoshi Moriya (Tohoku Univ.), Susumu Kawakami, Masafumi Yano (Tohoku Univ.), Koji Nakajima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2015-4
Abstract (in Japanese) (See Japanese page) 
(in English) The spatial perception, in which objects motion and positional relation are recognized, is necessary to realize such as a walking robot and an autonomous car. Motion stereo vision is one of the methods in which spatial perception is performed based on a depth cue called motion parallax obtained even in one eye. We aim to construct a spatial perception system by implementing the neural network model proposed by Kawakami et al. into an LSI, which can be applied to such as a collision detection system in an autonomous car. As a first step, we designed an LSI in which local motion is detected based on the neural network model of area V1 and area MT in the visual cortex. In this report, we show the architecture of the designed LSI and the results of verification and performance evaluation by RTL simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Motion Stereo Vision / Visual Area V1 / Visual Area MT / Optical Flow / Hough Transform / Local-motion Detection / LSI /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 111, NC2015-4, pp. 57-62, June 2015.
Paper # NC2015-4 
Date of Issue 2015-06-17 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2015-06-23 - 2015-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2015-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An LSI Implementation of a Neural Network Model for Detecting Local Image Motion in the Visual Cortex 
Sub Title (in English)  
Keyword(1) Motion Stereo Vision  
Keyword(2) Visual Area V1  
Keyword(3) Visual Area MT  
Keyword(4) Optical Flow  
Keyword(5) Hough Transform  
Keyword(6) Local-motion Detection  
Keyword(7) LSI  
Keyword(8)  
1st Author's Name Hisanao Akima  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Satoshi Moriya  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Susumu Kawakami  
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4th Author's Name Masafumi Yano  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Koji Nakajima  
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6th Author's Name Masao Sakuraba  
6th Author's Affiliation Tohoku University (Tohoku Univ.)
7th Author's Name Shigeo Sato  
7th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2015-06-25 13:20:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2015-4 
Volume (vol) vol.115 
Number (no) no.111 
Page pp.57-62 
#Pages
Date of Issue 2015-06-17 (NC) 


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