Pedestrian re-recognition method and system based on color area features

Abstract

The invention relates to the technical field of digital image processing, in particular to a pedestrian re-recognition method and system based on color area features extracted in an on-line clustering mode. Only a rectangular image of a single pedestrian is included, or a target rectangular frame is captured from an original video image according to a tracking result to serve as an input image, a color area is obtained through foreground extraction and on-line clustering extraction, and statistical features of the color area serve as local features to be applied for figure re-recognition. The system can make full use of local colors of appearance of the pedestrian to distribute structure information, and accordingly accuracy of pedestrian re-recognition is greatly improved.

Description

technical field [0001] The present invention relates to a method and system in the technical field of digital image processing, in particular to a pedestrian re-identification method and system based on color region features extracted by online clustering. Background technique [0002] In a modern society where intelligent video processing is increasingly developed, cameras have spread all over the streets and alleys. For massive video data, how to intelligently perform video analysis is a very important issue. Pedestrian detection, target tracking and other research fields have made great progress, and the person re-identification technology that connects these two subjects has also achieved rapid development in the past ten years, and a large number of pedestrian appearance feature extraction and representation methods have emerged. . In video surveillance, there are often tens of thousands of cameras, and these cameras do not overlap with each other, so how to link the t...

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Problems solved by technology

However, this method limits the structural information of the upper and lower body colors to an elliptical distribution. In practice, the color distribution of the pedestrian's appearance does not necessarily mean that the upper and lower body color information simply obeys the elliptical distribution, so this method is still not able to make full use of it. Color local distribution information

[0004] Chinese Patent Document No. CN103810476A, public (announcement) date 2014.05.21, discloses a pedestrian re-identification method in a video surveillance network based on small group information association. In the process of pedestrian feature extraction and matching, pedestrian features are easily affected by scene changes and lighting changes, resulting in a decrease in the re-recognition rate. At the same time, there will be some similarly dressed pedestrians in a large-scale monitoring network, causing pedestrian errors. In order to improve the re-identification rate of pedestrians and reduce the impact of external factors on pedestrian re-identification, this technology takes the small group characteristics of pedestrians as an important feature of pedestrian re-identification according to the relevance of small group information, and mainly solves the problem of video surveillance. The problem of low accuracy and low precision of pedestrian re-identification in the network

However, this technology needs to extract the salient regions first, and then use online clustering to extract key frames.

In person re-identification, due to changes in illumination, viewing angle, posture, etc., the salient areas of the same pedestrian under different cameras are often different, so this technology is also difficult to apply to the field of person re-identification

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