Design and Implementation of 176-MHz WXGA 30-fps Real-Time Optical Flow Processor-Reference-Cited by-同舟云学术

Design and Implementation of 176-MHz WXGA 30-fps Real-Time Optical Flow Processor

Published:2017 Issue:12 Volume:E100.A Page:2888-2900
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

SUZUKI Yu¹,ITO Masato¹,KANDA Satoshi¹,IMAMURA Kousuke²,MATSUDA Yoshio²,MATSUMURA Tetsuya³

Affiliation:

1. Graduate School of Engineering and Technology, Nihon University

2. Institute of Science and Engineering, Kanazawa University

3. College of Engineering, Nihon University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E100.A/12/E100.A_2888/_pdf

Reference30 articles.

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3. [3] S. Zingg, D. Scaramuzza, S. Weiss, and R. Siegwart, “MAV navigation through indoor corridors using optical flow,” Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp.3361-3368, May 2010. 10.1109/robot.2010.5509777

4. [4] S. Ali and M. Shah, “Human action recognition in videos using kinematic features and multiple instance learning,” IEEE Trans. Pattern Anal. Machine. Intell., vol.32, no.2, pp.288-303, Feb. 2010. 10.1109/tpami.2008.284

5. [5] B.K.P. Horn and B.G. Schunck, “Determining optical flow,” Artificial Intelligence, vol.17, nos.1-3, pp.185-203, Aug. 1981. 10.1016/0004-3702(81)90024-2