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Pedestrian re-recognition method based on similarity and dissimilarity fusion ranking optimization

A pedestrian re-identification and sorting optimization technology, which is applied in character and pattern recognition, biometric recognition, instruments, etc., can solve problems such as unsatisfactory optimization results

Active Publication Date: 2015-03-25
WUHAN UNIV
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Problems solved by technology

[0004] Among them, the existing pedestrian re-identification technology based on optimal ranking only uses similarity but not dissimilarity, and its optimization results are not ideal

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  • Pedestrian re-recognition method based on similarity and dissimilarity fusion ranking optimization
  • Pedestrian re-recognition method based on similarity and dissimilarity fusion ranking optimization

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Embodiment Construction

[0052] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0053] The present invention is a pedestrian re-identification method based on similarity and dissimilarity fusion sorting optimization; optional ELF method, SDALF method, LDFV method, SDC method, BiCov method, SCND method, PCCA method, PRDC method, LMNN method, Two methods in the ITML method, the KISSME method and the FPM method (hereinafter referred to as method 1 and method 2) perform similarity and dissimilarity fusion ranking optimization;

[0054] First, get the initial sorting results based on method 1 and method 2; then take the intersection of the fi...

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Abstract

The invention discloses a pedestrian re-recognition method based on similarity and dissimilarity fusion ranking optimization. Pedestrian re-recognition is a specific pedestrian retrieval problem. The main ideal of the pedestrian re-recognition method based on the similarity and dissimilarity fusion ranking optimization is that correctly-retrieved pedestrian targets are similar to polar positive samples of queried pedestrians and are not similar to polar negative samples of the queried pedestrians, meanwhile the pedestrians similar to the polar positive samples are defined as suspected positive samples, the samples similar to the polar negative samples defined as suspected negative samples, and the pedestrian re-recognition improving effect is achieved by improving ranking of suspected positive samples and meanwhile reducing ranking of suspected negative samples in a ranking optimization mode. In addition, the similarity and dissimilarity relation is strengthened by fusing results of multiple methods. By means of the pedestrian re-recognition method based on the similarity and dissimilarity fusion ranking optimization, similarity and dissimilarity ranking results are fused to further improve the matching accuracy of the same row of pedestrians under multiple cameras.

Description

technical field [0001] The invention belongs to the technical field of surveillance video retrieval, and relates to a pedestrian re-identification method, in particular to a pedestrian re-identification method based on fusion and sorting optimization of similarity and dissimilarity. Background technique [0002] In the actual video investigation, investigators need to quickly check, track and lock the suspected target according to the moving pictures and trajectories of the designated pedestrian object under the multi-camera. The best time to solve the case. Pedestrian re-identification is a cross-camera surveillance video automatic retrieval technology for specific pedestrian objects, that is, matching the same pedestrian object under multiple cameras with no overlapping illumination areas. This technology is used to assist video investigators to quickly and accurately discover the moving pictures and trajectories of suspected targets, which is of great significance for th...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/00
CPCG06V40/23G06V40/10
Inventor 胡瑞敏叶茫梁超刘俊王正陈军阮威健
Owner WUHAN UNIV
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