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A target tracking system and method based on a CSK and TLD fusion algorithm

A target tracking and fusion algorithm technology, applied in the field of computer vision, can solve problems such as difficult to identify targets, poor real-time performance, and complex TLD algorithms

Active Publication Date: 2019-01-11
NORTHEASTERN UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0006] To sum up, the CSK algorithm has a fast tracking speed, but once the tracking fails, it is difficult to successfully identify the target
The TLD algorithm is complex and has poor real-time performance, but it has strong robustness.

Method used

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  • A target tracking system and method based on a CSK and TLD fusion algorithm
  • A target tracking system and method based on a CSK and TLD fusion algorithm
  • A target tracking system and method based on a CSK and TLD fusion algorithm

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Embodiment Construction

[0089] The invention will be further described below in conjunction with the accompanying drawings and specific implementation examples, a target tracking system based on the fusion algorithm of CSK and TLD, such asfigure 1 as shown,

[0090] A method for target tracking based on the fusion algorithm of CSK and TLD is realized by using a target tracking system based on the fusion algorithm of CSK and TLD, comprising the following steps: comprising: an initialization module, a CSK tracking module, a judgment module, a TLD module, and an integration module , the result output module;

[0091] The initialization module is connected with the CSK tracking module, the CSK tracking module is connected with the judgment module, the judgment module is connected with the TLD module, the TLD module is connected with the integration module, and the integration module is connected with the result output module;

[0092] Among them, the TLD module includes an optical flow method (Lucas-Kana...

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Abstract

The invention provides a target tracking system and method based on a CSK and TLD fusion algorithm, belonging to the computer vision field. The system comprises an initialization module, a CSK tracking module, a judgment module, a TLD module, an integration module and a result output module. The TLD module consists of optical flow tracker and cascade detector. The cascade detector consists of variance detector, random fern detector and nearest neighbor detector. The target tracking method based on the CSK and TLD fusion algorithm overcomes the problem that the CSK algorithm is easy to fail totrack under the interference of complex background when used alone, and the problem that the TLD algorithm used alone is complex in structure, slow in running speed and difficult to realize real-timeperformance. The invention has wider adaptability to target tracking under complex scene, and greatly improves tracking accuracy while ensuring real-time performance. The simulation experiment shows that the tracking result of the traditional CSK algorithm generates larger deviation, and the method of the invention can detect the target again, so that the tracking is successful.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a target tracking system and method based on a fusion algorithm of CSK and TLD. Background technique [0002] With the development of society and the improvement of computer level, video surveillance can be seen everywhere. However, the traditional monitoring system only uses human eyes to observe abnormalities in the video, which is time-consuming and labor-intensive, and can no longer meet people's needs. Intelligent monitoring systems have emerged as the times require. The intelligent monitoring system uses intelligent algorithms and related theories of computer vision to automatically detect, identify and track abnormalities in video sequences, liberate the labor force, and provide convenience for people's production and life. [0003] Target tracking is closely related to target detection and target recognition. In the actual application process, before using a specific track...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T7/12
CPCG06T7/20G06T7/12
Inventor 王安娜孙莹
Owner NORTHEASTERN UNIV
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