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Journal of Electronic Imaging

Moving object detection in the presence of dynamic backgrounds using intensity and textural features
Author(s): Pojala Chiranjeevi; Somnath Sengupta
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Paper Abstract

Moving object detection in the presence of dynamic backgrounds remains a challenging problem in video surveillance. Earlier work established that the background subtraction technique based on a covariance matrix descriptor is effective and robust for dynamic backgrounds. The work proposed herein extends this concept further, using the covariance-matrix descriptor derived from local textural properties, instead of directly computing from the local image features. The proposed approach models each pixel with a covariance matrix and a mean feature vector and the model is dynamically updated. We made extensive studies with the proposed technique to demonstrate the effectiveness of statistics on local textural properties.

Paper Details

Date Published: 1 October 2011
PDF: 12 pages
J. Electron. Imaging. 20(4) 043009 doi: 10.1117/1.3662910
Published in: Journal of Electronic Imaging Volume 20, Issue 4
Show Author Affiliations
Pojala Chiranjeevi, Indian Institute of Technology Kharagpur (India)
Somnath Sengupta, Indian Institute of Technology Kharagpur (India)


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