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Pedestrian Behavior Recognition Based on Improved Dual-stream Network with Differential Feature in Surveillance Video
2021
Scientific Programming
In order to improve the pedestrian behavior recognition accuracy of video sequences in complex background, an improved spatial-temporal two-stream network is proposed in this paper. Firstly, the deep differential network is used to replace the temporal-stream network so as to improve the representation ability and extraction efficiency of spatiotemporal features. Then, the improved Softmax loss function based on decision-making level feature fusion mechanism is used to train the model, which
doi:10.1155/2021/3279957
fatcat:sh6dxvikfzglfoomsxoeig4dgm