NDLI: Online detection of unusual events in videos via dynamic sparse coding

Content Provider	IEEE Xplore Digital Library
Author	Bin Zhao Li Fei-Fei Xing, E.P.
Copyright Year	2011
Description	Author affiliation: Computer Science Department, Stanford University (Li Fei-Fei) \|\| School of Computer Science Carnegie Mellon University (Bin Zhao; Xing, E.P.)
Abstract	Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both normality and abnormality, time constraints, and statistical limitation of the fitness of any parametric models. We propose a fully unsupervised dynamic sparse coding approach for detecting unusual events in videos based on online sparse re-constructibility of query signals from an atomically learned event dictionary, which forms a sparse coding bases. Based on an intuition that usual events in a video are more likely to be reconstructible from an event dictionary, whereas unusual events are not, our algorithm employs a principled convex optimization formulation that allows both a sparse reconstruction code, and an online dictionary to be jointly inferred and updated. Our algorithm is completely un-supervised, making no prior assumptions of what unusual events may look like and the settings of the cameras. The fact that the bases dictionary is updated in an online fashion as the algorithm observes more data, avoids any issues with concept drift. Experimental results on hours of real world surveillance video and several Youtube videos show that the proposed algorithm could reliably locate the unusual events in the video sequence, outperforming the current state-of-the-art methods.
Starting Page	3313
Ending Page	3320
File Size	2966425
Page Count	8
File Format	PDF
ISBN	9781457703942
ISSN	10636919
e-ISBN	9781457703959
DOI	10.1109/CVPR.2011.5995524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Videos Dictionaries Encoding Event detection Image reconstruction Optimization Video sequences
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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	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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library 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

Online detection of unusual events in videos via dynamic sparse coding (2011).

Online detection of unusual events in videos via dynamic sparse coding.

Online detection of unusual events in videos via dynamic sparse coding

Online Detection of Unusual Events in Videos via Dynamic Sparse Coding

Transfer Sparse Coding for Robust Image Representation

Fisher Discrimination Dictionary Learning for sparse representation

Sparse reconstruction cost for abnormal event detection

Bilevel sparse coding for coupled feature spaces

A linear subspace learning approach via sparse coding

Online detection of unusual events in videos via dynamic sparse coding

Similar Documents

Online detection of unusual events in videos via dynamic sparse coding (2011).

Online detection of unusual events in videos via dynamic sparse coding.

Online detection of unusual events in videos via dynamic sparse coding

Online Detection of Unusual Events in Videos via Dynamic Sparse Coding

Transfer Sparse Coding for Robust Image Representation

Fisher Discrimination Dictionary Learning for sparse representation

Sparse reconstruction cost for abnormal event detection

Bilevel sparse coding for coupled feature spaces

A linear subspace learning approach via sparse coding

Online detection of unusual events in videos via dynamic sparse coding