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Target tracking method based on FAST (Features from Accelerated Segment Test) corner point and pyramid KLT (Kanade-Lucas-Tomasi)

A target tracking and pyramid technology, applied in the field of video analysis, can solve problems such as difficulty in effectiveness, and achieve the effects of short running time, high efficiency, accuracy and robustness

Inactive Publication Date: 2017-04-19
HOHAI UNIV
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Problems solved by technology

However, the feature information of the target is generally time-varying, and it is diff

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  • Target tracking method based on FAST (Features from Accelerated Segment Test) corner point and pyramid KLT (Kanade-Lucas-Tomasi)
  • Target tracking method based on FAST (Features from Accelerated Segment Test) corner point and pyramid KLT (Kanade-Lucas-Tomasi)
  • Target tracking method based on FAST (Features from Accelerated Segment Test) corner point and pyramid KLT (Kanade-Lucas-Tomasi)

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[0029] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] Such as figure 1 Shown, a kind of target tracking method based on FAST corner point and pyramid KLT of the present invention, its steps are as follows:

[0031] Step 10: Obtain all pixels from the first frame of video image, obtain the corner points to be tracked by the FAST algorithm, use the pyramid KLT method to track the corner points to be tracked and store the corner points to be tracked in the lastSET collection, Then pre-generate the corner point set newSET that can be tracked in the current frame from the lastSET set;

[0032] The lastSET collection stores the historical corner points predicted by pyramid KLT tracking before the current frame, and deletes some corner points in the overlapping area of ​​the target frame to obtain the corner point set newSET of the current frame that can be tracked by pyramid KLT. Among them, a foreground corresponds ...

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Abstract

The invention discloses a target tracking method based on a FAST (Features from Accelerated Segment Test) corner point and a pyramid KLT (Kanade-Lucas-Tomasi). The method combines the FAST algorithm and the pyramid KLT algorithm. Firstly, a corner point in need of tracking is obtained from a first frame of video image through the FAST algorithm, the pyramid KLT method is used for tracking the corner point in need of tracking, the best corner point is found out through layer-by-layer screening, and optical flow information is used finally to update the target position. The target tracking problem in the video is solved, and the target tracking is more accurate. The proper feature information can be selected efficiently for tracking, the accuracy is high, the robustness is strong, and the method provided by the invention is simpler, and the operation time is shorter.

Description

technical field [0001] The invention belongs to the field of video analysis, in particular to a target tracking method based on corner points of FAST (Features from AcceleratedSegment Test) corners and pyramid KLT (Kanade-Lucas-Tomasi named with three names). Background technique [0002] Today, with the rapid development of video surveillance, it has become an objective fact that the massive information of video surveillance screens has exceeded the scope of effective human processing. The intelligent video analysis technology is an effective means to filter out a large amount of redundancy, and it is the image processing technology that China's security industry pays the most attention to at present. In short, this technology is to find moving objects in the video, track and analyze them, detect abnormal behaviors in time, trigger alarms and take other measures to intervene. [0003] At present, among the tracking methods based on motion analysis, the frame difference met...

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Application Information

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IPC IPC(8): G06T7/246
CPCG06T2207/10016G06T2207/30232
Inventor 王敏关健
Owner HOHAI UNIV
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