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[International Conference] Human Body Part Classification from Optical Flow
The International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) , August 2016
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  URAI16-129_submit.pdf URAI16-129_submit.pdf (269.0K) [72]
Abstract
Body part (BP) classification is important in human image analysis. In this paper, we propose an optical flow based pixel-wise BP classifier using random forest (RF) in a monocular video. Running the BP classifier on each optical frame generates noisy mis classifications. We integrate the classifier with a human detector and temporal voting to reduce most of misclassified pixels. The proposed method is evaluated quantitatively on a real world dataset and showed better performance.

 
   
 

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