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To Propose a recognition algorithm combines the feature of cascade of HOG/HOF with the multi-layer classifier. By extracting the foreground region of the video sequence and extracting the HOG feature and the HOF feature to makes up the HOG/HOF cascade feature. Then making all the HOG/HOF cascade features form a set of feature vectors. Then, to construct a multi-layer classifier consists of twice self-organizing mapping networks and a layer of supervised neural networks. Finally, all the features are classified to get the result of behavior recognition. The simulation results show the algorithm has a high recognition rate.

Action Recognition Based on Cascade Feature and Multi-layer Classifier