@inproceedings{61827220adcf49088f68f44ce33c3163,
title = "Event analysis based on multiple video sensors for cooperative environment perception",
abstract = "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.",
keywords = "cooperative environment perception, event analysis, multiple video sensors",
author = "Tian Wang and Jie Chen and Aichun Zhu and Hichem Snoussi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd IEEE International Conference on Progress in Informatics and Computing, PIC 2015 ; Conference date: 18-12-2015 Through 20-12-2015",
year = "2016",
month = jun,
day = "10",
doi = "10.1109/PIC.2015.7489885",
language = "英语",
series = "Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "438--442",
editor = "Liang Xiao and Yinglin Wang",
booktitle = "Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015",
}