An Attention Model Approach to Video Surveillance Pedestrian Search Based on Natural Language Description
An attention model and natural language technology, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as unsatisfactory effects and high difficulty, and achieve the effect of improving effects, improving representativeness and effectiveness
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[0031] The attention model method for video surveillance pedestrian search based on natural language description of the present invention will be described in detail below with reference to the embodiments and drawings.
[0032] The attention model method of video surveillance pedestrian search based on natural language description of the present invention uses the attention weight formed by the fused feature vector to carry out attention weighting on the image feature vector to obtain the connection degree between the text and the image. At the same time, the text is weighted by using the attention weight formed by the text feature vector to obtain the importance of the text. The attention evaluation score is obtained by multiplying the degree of connection between the text and the image by the importance of the text. Specifically include the following steps:
[0033] 1) Let the nth image feature vector extracted by the convolutional neural network be I n ; The natural lang...
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