NDLI: An Integrated System for Moving Object Classification in Surveillance Videos

Content Provider	IEEE Xplore Digital Library
Author	Longbin Chen Feris, R. Yun Zhai Brown, L. Hampapur, A.
Copyright Year	2008
Description	Author affiliation: IBM Watson Center, Hawthorne, NY, USA (Feris, R.; Yun Zhai; Brown, L.; Hampapur, A.) \|\| U.C. at Santa Barbara, Santa Barbara, CA, USA (Longbin Chen)
Abstract	Moving object classification in far-field video is a key component of smart surveillance systems. In this paper, we propose a reliable system for person-vehicle classification which works well in challenging real-word conditions, including the presence of shadows, low resolution imagery, perspective distortions, arbitrary camera viewpoints, and groups of people. Our system runsin real-time (30 Hz) on conventional machines and has low memory consumption. We achieved accurate results by relying on powerful discriminative features, including a novel measure of object deformation based on differences of histograms of oriented gradients. We also provide an interactive user interface, enabling users to specify regions of interest for each class and correct for perspective distortions by specifying different sizes indifferent positions of the camera view. Finally, we use anautomatic adaptation process to continuously update the parameters of the system so that its performance increases for a particular environment. Experimental results demonstrate the effectiveness of our system in standard dataset and a variety of video clips captured with our surveillance cameras.
Starting Page	52
Ending Page	59
File Size	370389
Page Count	8
File Format	PDF
ISBN	9780769533414
DOI	10.1109/AVSS.2008.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Histograms Image recognition Intelligent vehicles Video Analytics Surveillance Layout Cameras Object recognition Videoconference Object Classification Videos
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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