Pedestrian re-identification method, device and apparatus, and medium
A pedestrian re-identification and pedestrian technology, applied in the field of image recognition, can solve the problems of local feature misalignment, local feature one-to-many, etc.
Active Publication Date: 2020-11-10
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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[0005] In view of this, the purpose of this application is to provide a pedestrian re-identification method, device, equipment and medium, which can solve the problems of misalignment of local features and one-to-many local features, thereby improving the accuracy of pedestrian re-identification
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[0067] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0068] The person re-identification problem can be understood as a sub-problem of image retrieval. see figure 1 As shown, the embodiment of the present application provides a schematic diagram of a pedestrian re-identification application scenario. For a certain target pedestrian appearing in the field of view of a certain camera, the target pedestrian can be quickly and accurately recognized in the field of view of other cameras. . Early pedestrian re-identification focused on gl...
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The invention discloses a pedestrian re-identification method, device and apparatus, and a medium. The method comprises the steps: inputting a pedestrian re-identification training sample into a backbone network, and extracting a feature map; extracting global features of the feature map, and calculating a global distance; determining pedestrian positions in the feature map by using a target detection algorithm; extracting pedestrian features from the feature map by utilizing the pedestrian positions; performing normalization processing on the pedestrian features based on an ROI Align technology to obtain pedestrian features of a preset size; extracting local features from the normalized pedestrian features, and calculating a local distance; calculating a total distance by using the globaldistance and the local distance; calculating loss generated in the whole training process; repeating the above steps to train a pre-built pedestrian re-identification model to obtain a trained pedestrian re-identification model; and when a to-be-identified image is obtained, outputting an identification result by using the trained pedestrian re-identification model. The problems of misalignment of local features and one-to-many local features can be solved, so that the accuracy of pedestrian re-identification is improved.
Description
technical field [0001] The present application relates to the technical field of image recognition, and in particular to a pedestrian re-identification method, device, equipment and medium. Background technique [0002] Pedestrian re-identification is a hot issue in the field of computer vision. The main research is "how to associate different cameras located in different physical locations to capture specific pedestrians", which can be understood as a sub-problem of image retrieval. For example, for a certain target pedestrian appearing in the field of view of a certain camera, the target pedestrian can be quickly and accurately identified in the field of view of other cameras. [0003] Early pedestrian re-identification focused on global features, that is, extracting features of the entire image, and performing image retrieval based on this feature vector. However, it was later found that only using global features to improve performance to a certain level would reach a b...
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IPC IPC(8): G06K9/00G06K9/46G06N3/08
CPCG06N3/08G06V40/10G06V10/462Y02T10/40
Inventor 金良尹云峰范宝余张润泽郭振华梁玲燕李茹杨
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD