Abnormal event detection based on deep autoencoder fusing optical flow

doi:10.23919/ChiCC.2017.8029129

	Abnormal event detection based on deep autoencoder fusing optical flow
	Qiao, Meina 1; Wang, Tian 1; Li, Jiakun 1; Li, Ce2 ; Lin, Zhiwei 3; Snoussi, Hichem 4
	2017-09-07
会议名称	36th Chinese Control Conference, CCC 2017
会议录名称	Chinese Control Conference, CCC
页码	11098-11103
会议日期	July 26, 2017 - July 28, 2017
会议地点	Dalian, China
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE Computer Society
摘要	As an important research topic in computer vision, abnormal detection has gained more and more attention. In order to detect abnormal events effectively, we propose a novel method using optical flow and deep autoencoder. In our model, optical flow of the original video sequence is calculated and visualized as optical flow image, which is then fed into a deep autoencoder. Then the deep autoencoder extract features from the training samples which are compressed to low dimension vectors. Finally, the normal and abnormal samples gather separately in the coordinate axis. In the evaluation, we show that our approach outperforms the existing methods in different scenes, in terms of accuracy. © 2017 Technical Committee on Control Theory, CAA.
关键词	Abnormal event detection Deep autoencoder Optical flow
DOI	10.23919/ChiCC.2017.8029129
收录类别	EI
资助项目	Gansu Province Basic Research Innovation Group Project[1506RJIA031]
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000432015504177
EI入藏号	20174404320912
ISSN	19341768
来源库	Compendex
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/118153
专题	电气工程与信息工程学院
通讯作者	Wang, Tian
作者单位	1.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China 3.Ulster Univ, Sch Comp, Coleraine BT37 0QB, Londonderry, North Ireland 4.Univ Technol Troyes, CNRS, UMR 6279, Inst Charles Delaunay,LM2S,STMR, F-10004 Troyes, France
推荐引用方式 GB/T 7714	Qiao, Meina,Wang, Tian,Li, Jiakun,et al. Abnormal event detection based on deep autoencoder fusing optical flow[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE Computer Society,2017:11098-11103.