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Visual tracking method and system for regional suggestion prediction of multi-view expert group

A visual tracking, expert group technology, applied in the field of visual tracking, can solve problems such as tracking performance constraints, achieve the effect of scale change and occlusion robustness, improve performance, and improve tracking performance

Pending Publication Date: 2021-12-07
SHANDONG INST OF BUSINESS & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, its tracking performance is largely constrained by the above three issues

Method used

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  • Visual tracking method and system for regional suggestion prediction of multi-view expert group
  • Visual tracking method and system for regional suggestion prediction of multi-view expert group

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Experimental program
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Embodiment 1

[0044] This embodiment provides a visual tracking method for region proposal prediction by a multi-view expert group;

[0045] Multiview Expert Group's Region Proposal Prediction for Visual Tracking Methods, including:

[0046] S101: Obtain a video to be tracked; wherein, the first frame of the video to be tracked is provided with a target area frame of the object to be tracked and an area frame twice as large around the target area of ​​the object to be tracked;

[0047] S102: Based on the area frame of the first frame image, train the classifier to obtain the trained classifier;

[0048]S103: Based on the multi-expert model, perform feature extraction on the i-th frame image of the video to be tracked to obtain the optimal feature; wherein, the value range of i is 2 to N; N is a positive integer; input the optimal feature to the trained In the classifier, a rough positive sample candidate box is output; based on the rough positive sample candidate box, the optimal candidate...

Embodiment 2

[0133] This embodiment provides a visual tracking system for region proposal prediction by a multi-view expert group;

[0134] Multiview Expert Group's Region Proposal Prediction for Visual Tracking Systems, including:

[0135] The obtaining module is configured to: obtain the video to be tracked; wherein, the first frame image of the video to be tracked is provided with a target area frame of the object to be tracked and an area frame twice as large around the target area of ​​the object to be tracked;

[0136] The training module is configured to: train the classifier based on the area frame of the first frame image to obtain the trained classifier;

[0137] The feature extraction module is configured to: based on the multi-expert model, perform feature extraction on the i-th frame image of the video to be tracked to obtain the optimal feature; wherein, the value range of i is 2~N; N is a positive integer; The excellent features are input into the trained classifier, and a ...

Embodiment 3

[0142] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

[0143] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, o...

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Abstract

The invention discloses a visual tracking method and system for regional suggestion prediction of a multi-view expert group. The method comprises the following steps: acquiring a to-be-tracked video; wherein a first frame of image in the video to be tracked is provided with a target area frame of the object to be tracked and an area frame which is twice as large as the target area of the object to be tracked; based on the region frame of the first frame image, training a classifier to obtain a trained classifier; based on a multi-expert model, performing feature extraction on the ith frame of image of the to-be-tracked video to obtain an optimal feature; wherein the value range of i is 2-N; n is a positive integer; inputting the optimal feature into the trained classifier, and outputting to obtain a rough positive sample candidate frame; and obtaining an optimal candidate frame based on the rough positive sample candidate frame. And a network prediction learning tracker and a multi-view multi-expert repair scheme are suggested by a bridging region, so that the tracking performance can be cooperatively improved.

Description

technical field [0001] The present invention relates to the technical field of visual tracking, in particular to a visual tracking method and system for region suggestion prediction of a multi-view expert group. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] Visual tracking is given an initial object marked with a bounding box in the first video frame, and localizes the object in subsequent video frames. Visual tracking has always been a hot research topic in the field of computer vision, and has a wide range of applications in video surveillance, video retrieval, sports video analysis, etc. Due to the existence of several unique characteristics of target tracking, it has been studied in depth, such as: tracking instability caused by severe deformation of objects, object rotation, severe occlusion, and lighting changes in video fr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/62G06T7/246G06N3/04
CPCG06T7/246G06N3/045G06F18/2411G06F18/214
Inventor 郭文丁昕苗单彬王铭淏
Owner SHANDONG INST OF BUSINESS & TECH
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