NDLI: Anomaly detection in videos: A dynamical systems approach

Content Provider	IEEE Xplore Digital Library
Author	Surana, A. Nakhmani, A. Tannenbaum, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alabama at Birmingham, Birmingham, AL, USA (Nakhmani, A.) \|\| United Technol. Res. Center, East Hartford, CT, USA (Surana, A.) \|\| Depts. of Comput. Sci. & Appl. Math./Stat., SUNY, Stony Brook, NY, USA (Tannenbaum, A.)
Abstract	We demonstrate a dynamical system framework based on motion patterns for detecting anomalous individual and group behavior in complex videos. We first describe a framework based on trajectory modeling, in which coarse statistical models are used to capture global motion patterns, and are employed in change detection to identify anomalous behavior at the object level. Our multi-target tracking framework combines geometric active contours with particle filtering to effectively deal with occlusions and clutter in the environment. In crowded scenes, however, such object level representation can become extremely unreliable: to deal with this we instead use of low-level motion features (e.g., optical flow) to capture group behavior. To keep the problem tractable, we utilize a subspace system identification method based on the Hankel matrix to extract relevant low order dynamics of these noisy features. The spectral properties of the Hankel matrix encode useful information about the dynamics, and can detect anomalous group behavior. In order to efficiently compute these spectral properties, we employ a randomized algorithm for singular value decomposition. Both approaches are demonstrated to robustly detect anomalous behavior in realistic indoor and outdoor videos.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	6489
Ending Page	6495
File Size	1667697
Page Count	7
File Format	PDF
ISBN	9781467357142
ISSN	07431546
e-ISBN	9781467357173
DOI	10.1109/CDC.2013.6760916
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Tracking Monte Carlo methods Robustness Videos Estimation Integrated optics
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Modeling and Simulation Control and Optimization

Sl.	Authority	Responsibilities	Communication Details
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	Mr. Siddhartha Mukherjee siddhartha@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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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