Behavior Recognition of Human Based on Deep Learning

To recognize human behaviors in public areas, a new method of recognition was proposed based on deep learning. First, we pre-processed all the images in training and test samples, and utilized GMM to extract moving objects. Then, we built sample sets of various behaviors, and defined different behaviors as priori knowledge to train a deep learning network. Finally, all kinds of behaviors based on the network model of deep learning were recognized. Experimental results demonstrated our method outperforms the existed methods, and the average recognition rate is 96.82%.