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Moving object detection in the presence of dynamic backgrounds using intensity and textural features

[+] Author Affiliations
Pojala Chiranjeevi

Indian Institute of Technology, Department of Electronics and Electrical Communication Engineering, Kharagpur-721302, IndiaE-mail: chiru.pojala@gmail.com

Somnath Sengupta

Indian Institute of Technology, Department of Electronics and Electrical Communication Engineering, Kharagpur-721302, IndiaE-mail: chiru.pojala@gmail.com

J. Electron. Imaging. 20(4), 043009 (December 14, 2011). doi:10.1117/1.3662910
History: Received December 29, 2010; Revised October 19, 2011; Accepted November 01, 2011; Published December 14, 2011; Online December 14, 2011
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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.

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Topics

Matrices ; Video

Citation

Pojala Chiranjeevi and Somnath Sengupta
"Moving object detection in the presence of dynamic backgrounds using intensity and textural features", J. Electron. Imaging. 20(4), 043009 (December 14, 2011). ; http://dx.doi.org/10.1117/1.3662910


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