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    Jiri Matas


    "Tracking: an old dog with many new tricks"

    Abstract

    Tracking is a very broad area covering methods ranging from ultra-fast rigid patch matchers to complex articulated or non-rigid body pose estimators. In recent years, fueled by both progress in fast detection, learning, segmentation and optic flow methods as well as application-driven demand, a wide range of new tracking methods has emerged.

    In the talk, I will briefly discuss the major axes of the "tracker space" and then present three recently developed trackers operating at very different points in the speed-robustness-flexibility space that are close to the "convex hull" of published methods: the TLD tracker (10 Hz), the Flock-of-Trackers (100 Hz) and the Zero-Shift-Point tracker (10 000 Hz). I will focus on one specific aspect shared by the trackers: mechanisms for prediction and handling of tracking errors. Such mechanisms contribute to tracker robustness, which will be demonstrated live.




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