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Tracking method of human body moving object with environmental disturbance resistance

A technology of human movement and environmental interference, applied in the field of human moving target tracking, can solve the problems of shortening the target search time, narrowing the target search range, and difficult to achieve better target tracking accuracy and real-time performance at the same time

Inactive Publication Date: 2011-07-20
XIAN UNIV OF TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

Some are proposed to improve the accuracy of tracking and matching. The main feature of this type of algorithm is to improve the search and matching speed and accuracy of the target by selecting good tracking features; some algorithms are proposed to narrow the target search range. , the main feature of this type of algorithm is to predict the possible position of the target at the next moment by a certain method, and shorten the target search time by narrowing the search range of the target, but the accuracy and real-time performance of target tracking are difficult to achieve good results at the same time

Method used

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  • Tracking method of human body moving object with environmental disturbance resistance
  • Tracking method of human body moving object with environmental disturbance resistance
  • Tracking method of human body moving object with environmental disturbance resistance

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Embodiment Construction

[0065] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0066] The premise of the theoretical derivation of the present invention is that the movement speed of the target to be tracked is limited, and the movement of the human target just meets this requirement.

[0067] In the present invention, the video frame corresponding to the moment when the target to be tracked is detected is set as the first frame of target tracking, and from the target area in the first frame, the part of the extracted target feature that is less affected by the environment and the posture of the moving target is determined. Locally, it is called the feature template of the target to be tracked. Afterwards, the target features within the scope of the template are obtained, and the tracking of the target is completed according to the matching relationship between the template and the target features. At the same time, acc...

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Abstract

The invention discloses a tracking method of a human body moving object with environmental disturbance resistance, comprising the following steps: step 1, determining the characteristic template range of an object to be tracked, and giving out the position range of the characteristic template of the object to be tracked according to the determined upper border, lower border, left border and rightborder of the template; step 2, determining the characteristic template information of the object to be tracked; step 3, determining the state of the object to be tracked, and dividing the state of the object to be tracked into three conditions, such as single object, multiple object adhesion and adhesion object separation, for processing respectively; step 4, tracking the object to be tracked, wherein the tracking manners comprise an object tracking manner under the state of the single object, an object tracking manner under the adhesion object state and an object tracking manner of the adhesion object separation; and step 5, updating the characteristic template of the object to be tracked. By utilizing the method, the complexity of the algorithm is lowered, and the accuracy and real-time performance of the object tracking are simultaneously improved.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and relates to a tracking method of a human body moving target that is resistant to environmental interference. Background technique [0002] Moving object tracking is an important part of an intelligent surveillance system, and many moving object tracking algorithms have been proposed. Some of them are for the tracking of rigid targets, and some are for the tracking of non-rigid moving targets. Some are proposed to improve the accuracy of tracking and matching. The main feature of this type of algorithm is to improve the search and matching speed and accuracy of the target by selecting good tracking features; some algorithms are proposed to narrow the target search range. , the main feature of this type of algorithm is to predict the possible position of the target at the next moment by a certain method, and shorten the target search time by narrowing the search range of the target, bu...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 朱虹马文庆王栋刘小乾孟凡星
Owner XIAN UNIV OF TECH
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