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If you have a question about this talk, please contact nobody. This talk will give an overview of methods for tracking objects in videos. Tracking objects in videos has a number of applications, such as video processing, robotics, surveillance or human computer interaction. We will study the concept of visual tracking as probabilistic inference and will learn about the ingredients required to build a tracking algorithm. A number of examples from the literature will be used to illustrate the ideas, including tracking with mean shift, tracking by regression, and tracking using online learning. Bio: http://mi.eng.cam.ac.uk/~bdrs2 This talk is part of the Featured talks series. This talk is included in these lists:
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