NDLI: Anomaly detection in surveillance video using motion direction statistics

Content Provider	IEEE Xplore Digital Library
Author	Chang Liu Guijin Wang Wenxin Ning Xinggang Lin Liang Li Zhou Liu
Copyright Year	2010
Description	Author affiliation: Tsinghua University, Department of Electronic Engineering, Beijing 100084, China (Chang Liu; Guijin Wang; Wenxin Ning; Xinggang Lin) \|\| Sony China Research Lab, Beijing 100190, China (Liang Li; Zhou Liu)
Abstract	A novel approach for detecting anomaly in visual surveillance system is proposed in this paper. It is composed of three parts:(a) a dense motion field and motion statistics method, (b) one-class SVM for one-class classification, (c) motion directional PCA for feature dimensionality reduction. Experiments demonstrate the effectiveness of proposed algorithm in detecting abnormal events in surveillance video, while keeping a low false alarm rate. Moreover, it works well in complicated situation where the common tracking or detection module won't work.
Starting Page	717
Ending Page	720
File Size	883220
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651958
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Principal component analysis Surveillance Support vector machines Training Legged locomotion Detectors PCA Visual surveillance Anomaly detection Motion vector One-class SVM
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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