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- W2750851050 abstract "We build a set of human behavior recognition system based on the convolution neural network constructed for the specific human behavior in public places. Firstly, video of human behavior data set will be segmented into images, then we process the images by the method of background subtraction to extract moving foreground characters of body. Secondly, the training data sets are trained into the designed convolution neural network, and the depth learning network is constructed by stochastic gradient descent. Finally, the various behaviors of samples are classified and identified with the obtained network model, and the recognition results are compared with the current mainstream methods. The result show that the convolution neural network can study human behavior model automatically and identify human’s behaviors without any manually annotated trainings." @default.
- W2750851050 created "2017-09-15" @default.
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- W2750851050 date "2017-01-01" @default.
- W2750851050 modified "2023-10-18" @default.
- W2750851050 title "Design and Implementation of Behavior Recognition System Based on Convolutional Neural Network" @default.
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- W2750851050 doi "https://doi.org/10.1051/itmconf/20171201025" @default.
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