"Hybrid Cone-Cylinder" Codebook Model for Foreground Detection with Shadow and Highlight Suppression

Authors:
Anup Doshi;Mohan Trivedi
Affiliations:
University of California, San Diego, USA;University of California, San Diego, USA
Venue:
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Year:
2006

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Abstract

In the interest of 24-7 long-term surveillance, a truly robust, adaptive, and fast background-foreground segmentation technique is required. This paper deals with the especially difficult but extremely common problems of moving backgrounds, shadows, highlights, and illumination changes. To produce reliable foreground extraction in the face of these problems, the best practical aspects of two algorithms, Codebook Segmentation[6] and HSV Shadow Suppression[2] are combined. The main contribution of this paper is the introduction of the "Hybrid Cone-Cylinder" Codebook (HC3) model. Results show superior speed and quantitatively better performance in many different conditions and environments. Applications include people-tracking with Omni-directional cameras and vehicle-counting with rectilinear cameras.