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Fast motion detection based on accumulative optical flow and double background model

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Optical flow and background subtraction are important methods for detecting motion in video sequences. This paper integrates the advantages of these two methods. Firstly, proposes a high precise algorithm for optical flow computation with analytic wavelet and M-estimator to solve the optical flow restricted equations. Secondly, introduces the extended accumulative optical flow and also provides its computational strategies, then obtains a robust motion detection algorithm. Furthermore, combines a background subtraction algorithm based on the double background model with the extended accumulative optical flow to give an abnormity alarm in time. All obvious proofs of experiments show that, our algorithm can precisely detect moving objects, no matter slow or little, preferably solve the occlusions as well as give an alarm fast.

源语言英语
主期刊名Computational Intelligence and Security - International Conference, CIS 2005, Proceedings
出版商Springer Verlag
291-296
页数6
ISBN(印刷版)3540308199, 9783540308195
DOI
出版状态已出版 - 2005
活动International Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, 中国
期限: 15 12月 200519 12月 2005

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3802 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议International Conference on Computational Intelligence and Security, CIS 2005
国家/地区中国
Xi'an
时期15/12/0519/12/05

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