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Action Recognition

Action Recognition. Karthik Prabhakar UCF REU 2008, Week 5 Report June 20, 2008. Results from Log-polar Histogram Binning Method (last week’s method). Weizmann Dataset:. Modified Motion Descriptor. Approach 1: Motion Magnitude.

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Action Recognition

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  1. Action Recognition Karthik Prabhakar UCF REU 2008, Week 5 Report June 20, 2008

  2. Results from Log-polar Histogram Binning Method (last week’s method) • Weizmann Dataset:

  3. Modified Motion Descriptor

  4. Approach 1: Motion Magnitude • Convert each of the four motion descriptor channels to a polar representation, such that: • Compute ‘motion magnitude’:

  5. Approach 2: Motion Structure fi and fj frames of a video sequence such that j = i + 1 vi and vj set of points belonging to fi and fj, respectively edge(vik,vjm) if they are the ‘same’ point V = {v1,…,vi,vj,….vn} Find G(V,E) such that the ‘error’ is minimized. Heuristics: Optical Flow channels (Magnitude + Direction) P(edge(vik,vjm)|Fi)

  6. Approach 3……. Super-Duper Boost!.............

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