Event analysis based on multiple video sensors for cooperative environment perception

Tian Wang, Jie Chen, Aichun Zhu, Hichem Snoussi

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Safety is considered as one of the most crucial aspects in the modern transportation domain. In this paper, we benefit from the videos captured by multiple external video sensors from infrastructure, and propose an algorithm to perceive the environment via these data from different aspects. The algorithm consists of two parts: the descriptor for representing the event and the classification method for analyzing the scenes. The covariance matrix feature descriptor is proposed to fuse the optical flow and the intensity of the image, and the nonlinear one-class SVM with a multi-kernel strategy is used to detect the unusual events in the scene. The method is applied to analyze events in the video surveillance dataset with promising results obtained.

源语言英语
主期刊名Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015
编辑Liang Xiao, Yinglin Wang
出版商Institute of Electrical and Electronics Engineers Inc.
438-442
页数5
ISBN(电子版)9781467380867
DOI
出版状态已出版 - 10 6月 2016
活动3rd IEEE International Conference on Progress in Informatics and Computing, PIC 2015 - Nanjing, 中国
期限: 18 12月 201520 12月 2015

出版系列

姓名Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015

会议

会议3rd IEEE International Conference on Progress in Informatics and Computing, PIC 2015
国家/地区中国
Nanjing
时期18/12/1520/12/15

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