Pedestrian re-identification method

Abstract

The invention discloses a pedestrian re-identification method. The method comprises steps of pedestrian characteristic extraction and pedestrian characteristic tolerance, for pedestrian characteristic extraction, image color histograms are extracted through employing sliding windows, main colors are expanded, statistics of appearance frequency of each color mode is carried out at each sliding window, sum of relatively larger frequencies is taken as characteristic output of the color, traversal of an integral image is carried out through the sliding windows, and characteristics are formed after normalization; for more generalization matching, a search source is extracted from characteristics of a full body to a half body; for tolerance calculation, characteristic dimensions with a non-zero search image characteristic vector and to-be-searched-target characteristics are taken as an Euclidean distance, and interference of background factors under a complex scene is further reduced. The method is advantaged in that re-identification under the complex scene is carried out, properties of strong transportability for scene change, stable algorithm and fast speed are realized, a problem of poor quality of monitoring videos and to-be-searched databases can be effectively solved, and strong practicality is realized.

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...

AI Technical Summary

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

Images