Pedestrian re-identification method based on multi-scale feature cutting and fusion

A pedestrian re-identification and multi-scale feature technology, applied in the field of pedestrian re-identification based on multi-scale feature cutting and fusion, can solve the problems of degraded re-identification performance, noisy image features, loss of significant information, etc.
CN109784258AInactive Publication Date: 2019-05-21SOUTH CHINA UNIV OF TECH +2
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2019-05-21
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a pedestrian re-identification method based on multi-scale feature cutting and fusion, particularly provides pedestrian re-identification network training based on multi-scale depth feature cutting and fusion and a pedestrian re-identification method based on the network, and performs pedestrian re-identification through multi-scale global descriptor extraction and local descriptor extraction. The extraction of the global descriptor is to carry out average pooling and feature fusion on feature maps of different layers of the deep network, and the extraction of the localdescriptor is to horizontally divide the feature map of the deepest layer of the deep network into a plurality of blocks and respectively extract the local descriptors corresponding to the feature maps. In the training process, a minimum smooth cross entropy cost function and a difficult sample sampling triple cost function are used as the target training network parameters. By adopting the technical scheme of the invention, the problem of feature mismatching caused by factors such as pedestrian posture change and camera color cast in pedestrian re-identification can be solved, and the influence caused by background can be eliminated, so that the robustness and precision of pedestrian re-identification are improved.
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Description

technical field

[0001] The invention relates to the technical fields of computer vision and image processing, in particular to a pedestrian re-identification method based on multi-scale feature cutting and fusion. Background technique

[0002] Pedestrian re-identification is a technology that matches whether two objects under different viewing angles of non-overlapping cameras are the same target, especially in security and criminal aspects, which has received extensive attention and applications. However, there are still huge challenges in pedestrian re-identification technology. Due to the fact that it is easily affected by factors such as illumination, viewing angle, and background in actual situations, the intra-class (same pedestrian) difference between pedestrians is even greater than that of inter-class (different pedestrians). discrepancy, leading to the failure of the re-identification task. In the actual pedestrian re-identification research work, it is mainly div...

Claims

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