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Anchor-free Target Tracking Method Based on Contour Estimation

A target tracking and contouring technology, applied in the field of computer vision, can solve problems such as difficult to deal with target changes and environmental changes, and achieve the effect of reducing background information

Active Publication Date: 2022-06-07
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The determination of hyperparameters requires a lot of professional knowledge and continuous tuning, and it is difficult to deal with complex target changes and environmental changes that may occur during the tracking process

Method used

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  • Anchor-free Target Tracking Method Based on Contour Estimation
  • Anchor-free Target Tracking Method Based on Contour Estimation
  • Anchor-free Target Tracking Method Based on Contour Estimation

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Embodiment Construction

[0045] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. this invention.

[0046] The main idea of ​​the anchor-free target tracking algorithm based on contour estimation is to use the contour estimation network to output the rough outline of the target. Compared with the use of axis-aligned rectangular boxes to describe the target state, using the outline to describe the target state can provide more target state information to meet the needs of different tracking scenarios; the outline of the target solved by the contour estimation network To update the target template features, the background information in the target template features is reduced, and more accurate target information is provided for subsequent information embedding.

[0047] like figure 1 As shown, the overall process ...

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Abstract

The invention discloses an anchor frame-free target tracking method based on outline estimation. The outline estimation network proposed by the present invention can directly solve the approximate outline of the target object without presetting the anchor frame according to the prior knowledge. Compared with the rectangular frame, the outline of the target object can more accurately describe the state of the target; the present invention also uses The target contour obtained by the contour estimation network is used to update the target template features, which reduces the background information in the target template features and provides more accurate target information for subsequent information embedding. In extreme environments such as illumination changes, motion blur, in-plane rotation, and objects beyond the viewing angle, the method of the present invention can still maintain high accuracy.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to the technical field of target tracking of digital images, and in particular to an anchor frameless target tracking method based on contour estimation. Background technique [0002] Target tracking refers to given the position and size of any target in the first frame of the video, and solving the state information of the target in the subsequent video sequence. The result of target tracking is used as the input for subsequent video target recognition, scene analysis and understanding, and plays the role of linking the previous and the next in the computer vision system. For decades, many excellent algorithms have emerged in the field of target tracking, and more and more researchers have begun to devote themselves to the study of target tracking algorithms, making the performance of target tracking algorithms better and more widely used in real life. middle. However, bu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T7/207G06T7/13G06V10/764G06V10/82G06N3/04
CPCG06T7/246G06T7/207G06T7/13G06T2207/10016G06T2207/20081G06T2207/20084G06N3/045G06F18/241
Inventor 李晶洪燕姚博文马金燕刘天鹏常军
Owner WUHAN UNIV
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