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A method and system for group target tracking based on graph similarity constraints

A similarity and group target technology, applied in the field of group target tracking methods and systems based on graph similarity constraints, to achieve high tracking accuracy, improved tracking accuracy, and good tracking real-time performance.

Active Publication Date: 2022-08-02
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0009] Aiming at the problem of multiple peaks in the response graph of the existing group target tracking technology, the present invention provides a group target tracking method and system based on graph similarity constraints, the purpose of which is to use graph similarity constraints to solve the multi-peak response graph of group target tracking problem, improve the accuracy of group target tracking

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  • A method and system for group target tracking based on graph similarity constraints
  • A method and system for group target tracking based on graph similarity constraints
  • A method and system for group target tracking based on graph similarity constraints

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[0052] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as there is no conflict with each other.

[0053] In the process of group target tracking, two problems need to be solved. The first is how to separate the target from the background and obtain an accurate target frame. Second, the tracking method needs to distinguish different track targets and make the correct track number for each tracking result. However, in group target tracking, many close targets will interfere with each other, which...

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Abstract

The invention discloses a group target tracking method and system based on graph similarity constraint, and belongs to the field of image processing. Since the range of target motion is limited between the frames before and after, the present invention considers that the structure of the group target graph should be similar between the frames before and after. The similarity between the graph structure and the graph structure of the previous frame forms a constraint on the group target tracking results, thereby solving the problem of wrong tracking caused by the multi-peak response graph caused by the interference of similar targets during the tracking process, and improving the group target tracking algorithm Under the same group target tracking test set, the present invention has higher tracking accuracy for similar targets than other group target tracking algorithms, better tracking real-time performance, and is more suitable for group target tracking.

Description

technical field [0001] The invention belongs to the field of image processing, and more particularly, relates to a group target tracking method and system based on graph similarity constraints. Background technique [0002] Video object tracking is also widely used in production and life fields. Target tracking is an important component in both military and civilian applications. Group target tracking technology is of great significance in the fields of ecological environmental protection, flight safety, and animal husbandry automation. For example, in terms of bird repelling at the airport, the flying birds in the airport will also cause hidden dangers to airlines, which not only cause huge economic losses, but also bring serious threats to the safety of passengers. Therefore, it is necessary to track the birds at the airport as a basis for driving away. In addition, as a new type of intelligent aircraft, UAV has the characteristics of flexible action, low take-off and f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
CPCG06T7/20
Inventor 胡静张旭阳沈宜帆陈智勇李彬哲章正
Owner HUAZHONG UNIV OF SCI & TECH
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