@inproceedings{963e6bf525c649fca021a6692e0256fc,
title = "Abnormal crowd motion detection using double sparse representations",
abstract = "Sparse representation method has been well used in image analysis, restoration and recognition, and it has also been introduced to analysis of video crowd movements recent years. To improve its accuracy of detecting abnormal events in crowd videos, a double sparse representation method is proposed. The method has two sparse processes, one of them judges whether the region of interest is normal, the other finds out whether the region is abnormal. The two judgments will be processed by fuzzy integral to obtain a final result for this region. Experiments are proceed in different datasets to validate the advantages of our algorithm. The results show that our method achieves higher accuracy than previous methods which are used for analysis of video crowd movements.",
keywords = "Abnormal event, Crowd analysis, Double sparse representations, References",
author = "Jinzhe Jiang and Ye Tao and Wei Zhao and Xianglong Tang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015 ; Conference date: 14-06-2015 Through 16-06-2015",
year = "2015",
doi = "10.1007/978-3-319-23989-7\_26",
language = "英语",
isbn = "9783319239873",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "249--259",
editor = "Xiaofei He and Zhi-Hua Zhou and Xinbo Gao and Zhi-Yong Liu and Yanning Zhang and Baochuan Fu and Fuyuan Hu and Zhancheng Zhang",
booktitle = "Intelligence Science and Big Data Engineering",
address = "德国",
}