Multidimensional characteristic passenger re-identification method, device, storage medium and processor

A pedestrian re-identification and multi-scale feature technology, applied in the field of multi-scale feature pedestrian re-identification, can solve the problem of low recognition accuracy

Inactive Publication Date: 2018-02-02
珠海习悦信息技术有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present invention provide a method, device, storage medium, and processor for pedestrian re-identification with multi-scale

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  • Multidimensional characteristic passenger re-identification method, device, storage medium and processor
  • Multidimensional characteristic passenger re-identification method, device, storage medium and processor
  • Multidimensional characteristic passenger re-identification method, device, storage medium and processor

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Embodiment 1

[0027] According to an embodiment of the present invention, an embodiment of a method for multi-scale feature pedestrian re-identification is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0028] figure 1 is a schematic flowchart of an optional multi-scale feature pedestrian re-identification method according to an embodiment of the present invention, as shown in figure 1 As shown, the method includes the following steps:

[0029] Step S102, establishing a first convolutional neural network model according to a preset multi-scale feature extraction method, wherein the input branch of the first arbitrary layer in the first convolutional neural network model includ...

Embodiment 2

[0058] According to another aspect of the embodiments of the present invention, a device for re-identifying pedestrians with multi-scale features is also provided, such as Figure 5 As shown, the device includes:

[0059] The first construction unit 501 is configured to establish a first convolutional neural network model according to a preset multi-scale feature extraction method, wherein the input branch of the first arbitrary layer in the first convolutional neural network model includes at least one front bit of the first arbitrary layer The output branch of the level; the first training unit 503 is used to train the first convolutional neural network model according to the preset public data set to obtain the second convolutional neural network model, wherein the second convolutional neural network model reaches a state of convergence The first convolutional neural network model; the second training unit 505 is used to train the model group consisting of the second convolut...

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Abstract

The invention discloses a multidimensional characteristic passenger re-identification method, a device, a storage medium and a processor, wherein the method comprises the steps of establishing a firstconvolutional neural network model according to a preset multidimensional characteristic extracting method; training a first convolutional neural network model according to a preset public data set,and obtaining a second convolutional neural network model; training a model group which is composed of the second convolutional neural network model according to a preset ternary set data set, and obtaining a third convolutional neural network model, wherein the model group comprises three parallel second convolutional neural network models; inputting a target passenger image and a to-be-identified passenger image to a third convolutional neural network model, thereby obtaining a target passenger characteristic vector and a to-be-identified passenger characteristic vector; and calculating a vector distance between the target passenger characteristic vector and the to-be-identified passenger characteristic vector, and obtaining an identification result according to the vector distance. Themultidimensional characteristic passenger re-identification method, the device, the storage medium and the processor settle a technical problem of relatively low identification precision in the passenger re-identification mode in prior art.

Description

technical field [0001] The present invention relates to the field of video image processing, in particular to a method, device, storage medium and processor for multi-scale feature pedestrian re-identification. Background technique [0002] Pedestrian re-identification technology, that is, the technology of automatically retrieving target pedestrians between camera videos from multiple perspectives without overlapping overlaps, plays a vital role in applications such as intelligent video surveillance and suspect retrieval. However, due to the influence of camera viewing angle differences, pedestrian pose changes, and early detection errors, the pedestrian re-identification problem has great challenges. [0003] The existing pedestrian re-identification technology, by extracting the global and local features of pedestrians, alleviates the impact caused by posture changes and detection errors. Patent CN104376334A proposes a pedestrian comparison method based on multi-scale fe...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/103G06N3/045G06F18/2414G06F18/22G06F18/214
Inventor 周文明王志鹏
Owner 珠海习悦信息技术有限公司
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