Huifang Qian1, Xuan Zhou1, *, Mengmeng Zheng1
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2153-2167, 2020, DOI:10.32604/cmc.2020.011843
Abstract The core technology in an intelligent video surveillance system is that
detecting and recognizing abnormal behaviors timely and accurately. The key
breakthrough point in recognizing abnormal behaviors is how to obtain the effective
features of the picture, so as to solve the problem of recognizing them. In response to this
difficulty, this paper introduces an adjustable jump link coefficients model based on the
residual network. The effective coefficients for each layer of the network can be set after
using this model to further improving the recognition accuracy of abnormal behavior. A
convolution kernel of 1×1 size is added to reduce… More >
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