Abstract
Visual tracking is an important component of many video surveillance systems. Specifically, visual tracking refers to the inference of physical object properties (e.g., spatial position or velocity) from video data. This is a well-established problem that has received a great deal of attention from the research community (see, e.g., the survey (Yilmaz et al., 2006)). Classical techniques often involve performing object segmentation, feature extraction, and sequential estimation for the quantities of interest.
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