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Multi-target tracking method based on improved TLD (tracking-learning-detected)

A target tracking, multi-target technology, applied in the field of multi-target tracking based on improved TLD, can solve problems such as tracker failure and inability to re-track, and achieve the effect of high processing speed

Inactive Publication Date: 2017-05-24
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this method is easy to accumulate errors, and once the object disappears in the image, the tracker will be permanently invalid, even if the object reappears, it cannot be tracked again

Method used

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  • Multi-target tracking method based on improved TLD (tracking-learning-detected)
  • Multi-target tracking method based on improved TLD (tracking-learning-detected)
  • Multi-target tracking method based on improved TLD (tracking-learning-detected)

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Experimental program
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Embodiment

[0097] Track 3 moving targets in a video, and the details of the 3 targets are shown in the following table:

[0098]

[0099] Figure 2-1 to Figure 2-5 is the tracking result of the 4th to 5th frames of the video carchase, where diagram 2-1 is the original image of frame 5, Figure 2-2 is the detection result image of the detection module on the fifth frame, Figure 2-3 Indicates the uniform candidate tracking point image generated in frame 4, Figure 2-4 is the remaining tracking point image filtered by calculating the FB error, Figure 2-5 is the final result image obtained after comparing the detection bounding box and the tracking bounding box, indicating the position of the target in the fifth frame.

[0100] The following table lists the detailed data of the tracking process from frame 1 to frame 82:

[0101] frame number NoT DON DTC / ms TTC / ms TC / ms SP 2 1 24 67.110 12.406 85.067 100％ 4 1 3 66.727 5.503 80.107 100％ ...

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Abstract

The invention discloses a multi-target tracking method based on improved TLD (tracking-learning-detected). The multi-target tracking method comprises the following steps of when a user designates a new target, enabling a tracking management module to call the tracking establishing function, and generating a scanning window collection; initializing an independent multi-target Kalman filter, and obtaining a first frame of image; since the second frame of image, processing by the following steps of calling the filter to detect the existing frame of targets; calling a tracker to track the previous frame of targets; calling the tracking integration function, and integrating the results of the filter and the tracker; calling the tracking updating function, and replacing the filter; when the user deletes one target, enabling the tracking management module to call the tracking deleting function, and deleting the applicable tracking process. The multi-target tracking method has the advantages that the multi-target Kalman filter and the multi-target Median-Flow tracker are integrated by the tracking management module, so as to realize the purpose of supporting the tracking on multiple unknown targets; the processing speed is higher than the processing speed of TLD.

Description

technical field [0001] The invention relates to a target tracking method, in particular to a multi-target tracking method based on an improved TLD. Background technique [0002] Moving object tracking is an important branch of computer vision and a key issue in machine vision systems, which integrates advanced technologies in many fields such as image processing, pattern recognition, and artificial intelligence. In recent years, more and more scholars and researchers have turned their attention to video tracking. With the deepening of research and the development of technology, video tracking has gradually become an important part of production and life. It has been widely used in civil and military fields such as monitoring, medical diagnosis, and visual guidance. [0003] Video tracking technology has developed many accurate and efficient algorithms based on specific applications in different aspects such as single target or multiple targets, known or unknown targets. At...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/277
Inventor 吴磊岳翰武德安陈鹏冯江远
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA