A Pedestrian Re-identification Method

Abstract

The invention discloses a pedestrian re-identification method, including pedestrian feature extraction and feature measurement; the pedestrian feature extraction mainly uses a sliding window to extract the image color histogram, expands the main color, and counts each color in each row of sliding windows The number of times the pattern appears, select the larger sum as the feature output of the color, the sliding window traverses the entire image, and forms the feature after normalization. In order to make the matching more universal, the features of the search source from the whole body to the half body are extracted. When calculating the measurement, the Euclidean distance between the feature dimension and the target feature to be searched is made with the feature dimension of the search image feature vector not being 0, which further reduces the interference of background factors in complex scenes; the pedestrian re-identification method provided by the present invention is applied to The re-identification of pedestrians in complex scenes is highly portable to scene changes, the algorithm is stable and fast, and it can effectively solve the problem of low quality of surveillance video and databases to be searched, and has strong practicability.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and more specifically relates to a pedestrian re-identification method. Background technique [0002] Pedestrian re-identification is one of the important fields of image processing and pattern recognition research; the so-called pedestrian re-identification refers to a target pedestrian (probe) to be searched as the search source, which is collected by other cameras without repeated line of sight. The main difficulty of the algorithm for automatically finding this search source in the video image (gallery) is that the same target is affected by interference factors such as illumination, viewing angle, and occlusion in different scenes, showing great intra-class differences. [0003] The existing technology proposes targeted solutions from the aspects of feature extraction and distance measurement; the features involved include the spatial position, color and texture information of th...

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Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a pedestrian re-identification method, which aims to solve the problems of insufficient robustness of feature extraction based on standard database learning feature extraction and poor portability of measurement algorithms in existing pedestrian re-identification technology

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