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Target re-identification method and device

A re-identification and target technology, applied in the field of target re-identification methods and devices, can solve problems such as poor robustness of re-identification technology, and achieve the effect of improving robustness and solving poor robustness

Active Publication Date: 2021-07-20
NINEBOT (BEIJING) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a target re-identification method and device to at least solve the technical problem of poor robustness of the tracking target re-identification technology in the existing tracking technology

Method used

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  • Target re-identification method and device

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Embodiment 1

[0029] According to an embodiment of the present invention, an embodiment of a target re-identification method is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed 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.

[0030] figure 1 is a flowchart of a target re-identification method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0031] Step S102, acquiring a tracking target and an image area of ​​the tracking target.

[0032]Specifically, the above-mentioned tracking target can be a target specified by humans or determined by a pedestrian detector, and the image area of ​​the tracking target can be an area that contains the tracking target tha...

Embodiment 2

[0068] According to an embodiment of the present invention, an embodiment of a target re-identification device is provided, figure 2 is a schematic diagram of a target re-identification device according to an embodiment of the present invention, such as figure 2 As shown, the device includes:

[0069] The acquiring module 10 is configured to acquire a tracking target and an image area of ​​the tracking target.

[0070]Specifically, the above-mentioned tracking target can be a target specified by humans or determined by a pedestrian detector, and the image area of ​​the tracking target can be an area that contains the tracking target that is artificially pointed out in a certain frame image of the video, or is identified by the pedestrian detector. An image area determined by a certain frame of a video.

[0071] A construction module 20, configured to extract feature information from the image area of ​​the tracking target, and construct a feature model according to the fea...

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Abstract

The invention discloses a target re-identification method and device. Wherein, the method includes: acquiring the tracking target and the image area of ​​the tracking target; extracting feature information from the image area of ​​the tracking target, and constructing a feature model according to the feature information; Tracking state, wherein the credibility of the tracking result is determined by the similarity between the feature information of the preset area of ​​the current frame image and the feature model; when it is determined according to the tracking state that the tracking target is not lost, it is updated according to the tracking result of the current frame image feature model. The invention solves the technical problem of poor robustness of the tracking target re-identification technology in the existing tracking technology.

Description

technical field [0001] The present invention relates to the field of video image processing, in particular to a target re-identification method and device. Background technique [0002] Image-based target re-identification generally refers to identifying a given target from different images and videos. This type of technology is generally used in cross-scene target tracking, content-based image retrieval and other fields. The traditional approach is to use the paired image data of the same target in different scenes and the paired image data of different targets to extract specified features, such as color histograms, as feature vectors, and then use the method of metric learning to learn a similarity Measuring function, in the application, use the similarity measuring function to calculate the similarity between two objects, and then judge whether they are the same object. [0003] Recently, with the rise of deep learning, there has also been the use of convolutional neura...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46
CPCG06V20/40G06V20/46G06V10/26G06V10/50G06V10/56G06T7/20G06V10/40G06F18/00
Inventor 唐矗孙晓路
Owner NINEBOT (BEIJING) TECH CO LTD
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