A pedestrian rerecognition method based on a fusion convolution neural network

Abstract

The embodiment of the invention discloses a pedestrian rerecognition method based on a fusion convolution neural network. The method comprises the steps of: constructing a fusion convolution neural network; preprocessing training pedestrian images and obtaining the convolutional activation map by inputting the images into the fusion convolutional neural network; obtaining the whole feature of thetraining pedestrian image by performing the whole pooling, and obtaining the local feature by performing the local horizontal pooling; learning and optimizing the whole feature and local feature respectively, and training the fused convolution neural network; after preprocessing the test pedestrian images, inputting the image to the fusion convolution neural network, and extracting the whole feature and local feature of the test pedestrian image to obtain the final feature; obtaining the pedestrian recognition results by searching for the pedestrian image matching the final feature in the testset as the target image. The invention makes full use of the advantages of the convolution neural network, learns the whole feature and the local feature of the pedestrian image, and finally fuses the two features to represent the pedestrian image, thereby further improving the matching accuracy of the pedestrian recognition.

Description

technical field [0001] The invention belongs to the fields of pattern recognition and artificial intelligence, and in particular relates to a pedestrian re-identification method based on a fusion convolutional neural network. Background technique [0002] In order to maintain public order and safety and create a safe living environment for people, surveillance cameras are installed in many public places, which can effectively locate target pedestrians and arrest criminal suspects in time. However, in the face of a large amount of data, the human eye can no longer effectively and quickly identify and locate targets. People hope to use computers to solve this problem. The development of person re-identification (Person Re-Identification) has made up for this vacancy in time. Effective person re-identification technology can quickly and accurately search for target pedestrians. However, due to the changing camera shooting angle, light intensity, human posture, etc., this techn...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the technical problem that the overall features and local features of pedestrian images are not fully mined and not well fused together. Therefore, the present invention provides a pedestrian re-identification method based on fusion convolutional neural network

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