1 October 2011 Moving object detection in the presence of dynamic backgrounds using intensity and textural features
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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.
© (2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Pojala Chiranjeevi, Pojala Chiranjeevi, Somnath Sengupta, Somnath Sengupta, } "Moving object detection in the presence of dynamic backgrounds using intensity and textural features," Journal of Electronic Imaging 20(4), 043009 (1 October 2011). https://doi.org/10.1117/1.3662910 . Submission:
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