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Target tracking method and system based on video image

A video image and target tracking technology, applied in the field of pattern recognition, can solve problems such as missing tracking, target breakage, and inability to form feature point clusters, so as to achieve tracking, avoid being mistracked, and improve real-time and robustness. Effect

Active Publication Date: 2012-03-21
北京汉王智远科技有限公司
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  • Description
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AI Technical Summary

Problems solved by technology

However, once there are different motion patterns inside the target, the use of this feature point tracking technology will easily lead to target breakage
Furthermore, some targets with simple surface texture and few feature points cannot form feature point clusters, so they are also missed tracking

Method used

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  • Target tracking method and system based on video image
  • Target tracking method and system based on video image
  • Target tracking method and system based on video image

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Embodiment Construction

[0024] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0025] figure 1 It is a flow chart of Embodiment 1 of the video image-based target tracking method of the present invention. Such as figure 1 As shown, the target tracking method based on video images in this embodiment includes:

[0026] S101. Generate a grayscale image of the video image;

[0027] In the embodiment of the present invention, pedestrians in motion are used as tracking objects, that is, video images of pedestrians are obtained by using cameras to capture scenes with high crowd density and complex background, and grayscale images are used as the basis for subsequent processing. Therefore, before performing the subsequent steps, the corresponding grayscale image is first obtained by grayscaleizing the original video image of pedestrians.

[0028] S102. Detect feature points to be tracked from the gr...

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Abstract

The invention discloses a target tracking method and a system based on video image, which belongs to the technical field of pattern recognition. The method comprises the following the steps: generating a gray level image of the video image, detecting characteristic points to be tracked in the gray level image based on a first characteristic point neighbourhood, detecting targets according to the characteristic points to be tracked and a stored target template, and analyzing the tracked target according to the statistic of the characteristic points to be tracked. In the invention, the characteristic points to be tracked of the pedestrian target are detected and tracked, and the moving synchronism of the pedestrian target and the corresponding characteristic points to be tracked is utilized, so that effective tracking of the pedestrian target can be realized, and the real-time performance and robustness of the tracking can be improved. Simultaneously, the characteristic points to be tracked are voted, so that the characteristic points can be prevented from being tracked by mistaken, and the leaked tracking of the pedestrian target can be avoided.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and relates to a method and system capable of stably tracking a target in a video image when the crowd density is high and the background is complex. Background technique [0002] Simultaneous tracking of multiple targets based on video images has broad application prospects. For example, in public places and commercial areas, by tracking multiple pedestrians in the video image, the number of pedestrians and the distribution of pedestrians in the monitoring area at a certain moment or time period can be obtained. At the same time, the tracking of pedestrians can not only Obtain the movement trajectory of pedestrians, and can also realize the periodic statistics of crowd flow. [0003] However, for the tracking of rigid moving objects such as pedestrians, due to the changeable shape of rigid moving objects in motion, large differences in displacement speed between individuals, irregul...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 麻文华黄磊刘昌平
Owner 北京汉王智远科技有限公司
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