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We introduce a new HoG (Histogram of Oriented Gradients) tracker for Gesture Recognition. Our main contribution is to build HoG trajectory descriptors (representing local motion) which are used for gesture recognition. First, we select for each individual in the scene a set of corner points to determine textured regions where to compute 2D HoG descriptors. Second, we track these 2D HoG descriptors in order to build temporal HoG descriptors. Lost descriptors are replaced by newly detected ones.doi:10.1109/avss.2009.26 dblp:conf/avss/KaanicheB09 fatcat:5ynkwvz75zfxnnyvbaxll6c43y