A Pedestrian Re-Identification Method Based on Multi-Feature Integration

Abstract

The invention discloses a pedestrian re-identification method based on multi-feature integration, which specifically includes the following steps: step 1: collecting multi-feature information; step 2: performing measurement model learning on the multi-feature information collected in step 1, and establishing multiple Feature matching model; step 3: weight learning: according to the recognition performance of the four models learned in step 2 on the training data set, assign corresponding weights to each model; step 4: multi-feature matching: assign the specified image Match the single-feature matching models obtained in step 2 with the matching image, calculate the distance between images on each single-feature model, and sort them to obtain the corresponding matching results, and then compare the distance on each feature with the distance obtained in step 3 The weights are weighted and integrated to obtain the final combination distance, and then a better multi-feature matching result can be obtained.

Description

technical field [0001] The invention belongs to the technical field of image retrieval and relates to a pedestrian re-identification method based on multi-feature integration. Background technique [0002] Pedestrian re-identification refers to identifying a specific pedestrian who has appeared in the image library in the possible image library. For example, a typical application scenario of pedestrian re-identification technology is criminal investigation. Given a suspect's photo, the video surveillance video related to the suspect is collected, and then clues related to the suspect are collected. With people's increasing attention to social public safety and the development of video capture technology and large-scale data storage technology, a large number of surveillance cameras are used in shopping malls, parks, schools, hospitals, subway stations and other places with dense crowds and prone to public safety incidents. , The emergence of surveillance cameras has undoubt...

AI Technical Summary

Problems solved by technology

[0012] In order to achieve the above purpose, the present invention provides a pedestrian re-identification method based on multi-feature integration, which solves the problem in the prior art that the traditional recognition algorithm cannot obtain relatively accurate data due to the complex dynamic characteristics and instability of the data. The problem of ideal results improves the accuracy of pedestrian re-identification

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