CONDENSATION-Based Predictive EigenTracking

نویسندگان

  • Namita Gupta
  • Pooja Mittal
  • Sumantra Dutta Roy
  • Santanu Chaudhury
  • Subhashis Banerjee
چکیده

An appearance-based EigenTracker can track objects which simultaneously undergo image motions as well as changes in view. This paper enhances the framework in two ways. First, we incorporate a novel CONDENSATION-based predictive framework to speed up the EigenTracker. Next, our scheme is on-line: we use efficient eigenspace updates to track unknown objects. We use Importance Sampling for enhancing the capability of an EigenTracker. Our on-line EigenTracker is flexible it is possible to use it in conjunction with other trackers in a symbiotic manner. We show results of efficient and successful tracking for two important applications – hand gesture analysis, and face and person tracking.

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تاریخ انتشار 2002