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Group target tracking method and system based on graph similarity constraint

A similarity and group target technology, applied in the group target tracking method and system field based on graph similarity constraints, to achieve the effect of improving tracking accuracy, high tracking accuracy, and good real-time tracking

Active Publication Date: 2021-01-12
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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  • Group target tracking method and system based on graph similarity constraint
  • Group target tracking method and system based on graph similarity constraint
  • Group target tracking method and system based on graph similarity constraint

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Embodiment Construction

[0052] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, 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 they do not constitute a 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 objects and make the correct track number for each tracking result. But 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. Because the motion amplitude of the target is limited between the front frame and the rear frame, the group target graph structure should be similar between the front frame and the rear frame, and based on this, the similarity index of the design graph quantifies the similarity between the candidate graph structure of the current frame and the graph structure of the previous frame in the group target tracking process; constraint is formed on a group target tracking result, so that the problem of wrong tracking caused by multiple peaks of a response diagram generated by similar target interference in the tracking process is solved, and the tracking precision of a group target tracking algorithm is improved; under the same group target tracking test set, compared with other group target tracking algorithms, the similar target tracking precision is higher, the tracking real-time performance is better, and the method is more suitable for group target tracking.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically 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 the field of production and life. No matter in military or civilian aspects, target tracking is an important part. Swarm target tracking technology is of great significance in ecological environment protection, flight safety, animal husbandry automation and other fields. For example, in terms of bird repelling at airports, flying birds in airports will also cause hidden dangers to airlines, not only causing huge economic losses, but also posing a serious threat to passenger safety. Therefore, it is necessary to track the birds at the airport as a basis for driving away. In addition, as an emerging intelligent aircraft, UAV has the characteristics of flexible action, low take-off and flight requirements, not r...

Claims

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Application Information

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Patent Type & Authority Applications(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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