Pedestrian re-identification method based on distance centralization and projection vector learning

A technology of pedestrian re-identification and projection vector, applied in the field of pedestrian re-identification based on distance centralization and projection vector learning, can solve the problems of long training time, large dimension of projection matrix, easy overfitting, etc., to improve the training speed. , good dimensionality reduction effect, and the effect of improving the recognition rate

Inactive Publication Date: 2018-08-24
CHANGZHOU UNIV
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This method has low requirements for feature selection, but has some problems such

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  • Pedestrian re-identification method based on distance centralization and projection vector learning
  • Pedestrian re-identification method based on distance centralization and projection vector learning
  • Pedestrian re-identification method based on distance centralization and projection vector learning

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[0016] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0017] The following will be combined with Figure 1-4 The present invention will be described in detail in conjunction with the embodiments.

[0018] figure 1 The operation flowchart of the present invention is provided: step 1, the division of pedestrian training set and test set; step 2, extract the features of pedestrian images, including color features and texture features; step 3, calculate the feature distance of centralization; step 4 1. Build a pedestrian re-identification model based on iterative projection vector learning; step 5, use the conjugate gradient method to iteratively solve the model; step 6, calculate the distance of different pedestri...

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Abstract

The invention relates to the technical field of pedestrian re-identification in computer vision, in particular to a pedestrian re-identification method based on distance centralization and projectionvector learning. The method includes the following steps: Step 1, dividing a pedestrian training set and test set; Step 2, extracting features of a pedestrian image, including color features and texture features; Step 3, calculating the feature distance of centralization; Step 4, building a pedestrian re-identification model based on iterative projection vector learning; Step 5, using a conjugategradient method to solve the model iteratively; and Step 6, calculating different pedestrian feature distances in the test set to perform pedestrian re-identification, the overfitting situation brought by class imbalance is effectively solved and the identification accuracy of pedestrian re-identification is improved. The pedestrian re-identification method based on distance centralization and projection vector learning can well improve the training speed and has a good suppression effect on the noise. The method has very good robustness to pedestrian posture, illumination variation and shielding.

Description

technical field [0001] The invention relates to the technical field of pedestrian re-identification in computer vision, in particular to a pedestrian re-identification method based on distance centralization and projection vector learning. Background technique [0002] At present, more and more camera systems are widely deployed in public places for 24-hour uninterrupted monitoring, which generates a large amount of video data, making the traditional video monitoring system that mainly relies on manual monitoring and identification not only consumes a lot of manpower , and very ineffectively. Therefore, automatic processing and analysis of video data is of great help to improve the efficiency of video surveillance. In video surveillance, when a pedestrian is captured by a camera located in a public place, that is, after one or more frames of images of the pedestrian are acquired, the process of using the existing camera network to find the place where the target pedestrian ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V10/507G06V10/56G06F18/2413
Inventor 王洪元丁宗元王冲
Owner CHANGZHOU UNIV
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