Keywords :
computer vision; feature extraction; gradient methods; action recognition; computer vision; edge information; feature transform; hand designed features; histogram of oriented gradients; local binary patterns; machine learning; mid-level cues; object recognition; target tracking; unsupervised feature learning;
