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A Method of Optimal Matching Target Tracking Based on Weighted Model Constraints

A target tracking and optimal matching technology, applied in the field of computer vision

Active Publication Date: 2021-05-18
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide an optimal matching target tracking method based on weighted model constraints for the above-mentioned deficiencies in the prior art, which is used for target tracking on video image sequences, and can prevent the target from being deformed or partially occluded. Sometimes the tracking offset problem is caused by incomplete matching of target features, and it can avoid the interference of background information to ensure that the matched target is more accurate

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  • A Method of Optimal Matching Target Tracking Based on Weighted Model Constraints
  • A Method of Optimal Matching Target Tracking Based on Weighted Model Constraints

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[0077] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0078] An optimal matching target tracking method based on weighted model constraints, such as figure 1 As shown, the method of this embodiment is specifically described as follows.

[0079] Step 1: Read the video image sequence to be tracked, and use the first frame of the video image sequence to be tracked as the training image.

[0080] In this embodiment, read the video image to be tracked such as figure 2 shown.

[0081] Step 2: Use the weighted segmentation theory to establish the weighted target model T′ of the video image to be tracked. The specific method is as follows:

[0082] Step 2.1: Mark the initial target area T in the current first frame of video imag...

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Abstract

The invention provides an optimal matching target tracking method based on weighted model constraints, and relates to the technical field of computer vision. This method takes the first frame image as the training image, establishes a weighted target model, reads the video image frame by frame, and obtains the matching foreground area of ​​the current frame based on the previous frame, uses the bidirectional optimal similarity matching method for target detection, and obtains Tracking result area; when the number of frames is greater than 6, the distance decision method is used to reconstruct the situation of mismatching; when the number of frames is a multiple of 5, weighted fusion is carried out according to the tracking results of the current frame and the current weighted target model. Update the weighted target model. The method of the present invention is used to track the target of the video image sequence, which can prevent the problem of tracking offset caused by incomplete matching of target features when the target is deformed or partially occluded, and can avoid the interference of background information to ensure that the matched target more acurrate.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an optimal matching target tracking method based on weighted model constraints. Background technique [0002] As a representative research topic in the field of computer vision, object tracking integrates key technologies in many fields and is a research hotspot in image processing. It mainly collects image or video information through cameras or other terminal equipment, obtains corresponding scene information through computer processing, and simulates the vision of humans or other creatures to solve problems autonomously. The main task of target tracking is to estimate the position and trajectory of the moving target. When the current state of the target is known, the tracking algorithm is used to predict the motion parameters of the target at the next moment, and to obtain information such as the shape, position, and contour of the target. Then the information is anal...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/223G06T7/11
CPCG06T2207/10016G06T2207/20081G06T7/11G06T7/223
Inventor 刘大千刘万军费博雯曲海成孙虎
Owner LIAONING TECHNICAL UNIVERSITY
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