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, 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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