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

A pedestrian re-identification and color area technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of low accuracy, low accuracy of pedestrian re-identification, pedestrian error re-identification, etc.

Active Publication Date: 2015-01-07
合肥的卢深视科技有限公司
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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 ...

Method used

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

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Embodiment 1

[0027] Such as figure 1 As shown, this embodiment includes the following steps:

[0028] Step 1) Use the foreground extraction algorithm to separate the foreground and background of the target pedestrian image to obtain the foreground area.

[0029]Step 1 specifically utilizes the document "Stel component analysis: Modeling spatial correlations in image class structure (STEL component analysis: modeling the spatial correlation of image class structure)" (Jojic, N.Microsoft Res., Redmond, WA, USA Perina , A.; Cristani, M.; Murino, V.; Frey, B., 2009.CVPR 2009.IEEE Conference 2009.6.20), this method directly uses the code provided by the author For foreground separation, the specific usage is as follows:

[0030] 1.1) all images in the data set are clustered (the number of clusters is set to 128 in this embodiment);

[0031] 1.2) Compare each pixel point of each image with the cluster center, and use the nearest distance center number as the value of the pixel, so that the in...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/64G06K9/46
CPCG06V20/47G06V10/75G06V2201/07G06F18/23G06F18/22
Inventor 周芹郑世宝苏航王玉
Owner 合肥的卢深视科技有限公司
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