We've just embedded the classifier execution based into the pose estimation application developed by Feifei Huo in ICT Group at TU Delft. As a result, FeiFei robust model-based torso detector now gets also the pose classifier based on torso model parameters. The video shows the single camera setup which is more challenging than using stereo as the torso parameters exhibit high overlap for the nine poses of interest.

The wire structures represent torso models fitted to the video frames, the crosses show the detected points of interest such as palms (based on skin-color detector). The numbers on the chest show the classifier decision. In this example we use the 10-NN classifier based on 1500 training poses of several people (different from the guys in this test). The decisions are performed at the equal-proir operating point. The complete pose recognition application is a written in C++ application using OpenCV and libPRSD. Note, that libPRSD allows to change the classifier or alter its operating point without recompiling the entire application. Simply export the classifier from Matlab/PRSD Toolbox and load it to the application on-the-fly!

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