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Improved KCF tracking algorithm for target occlusion

A tracking algorithm and target tracking technology, applied in the field of image processing, can solve problems such as poor anti-occlusion ability, tracking failure, tracking drift, etc.

Pending Publication Date: 2018-11-06
TIANJIN UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

However, the traditional KCF tracking algorithm has poor anti-occlusion ability. When the tracking target is occluded, it is easy to cause tracking drift or tracking failure, and the target cannot be retrieved after the tracking failure. Therefore, an improved algorithm is proposed to improve the performance of KCF. Anti-occlusion

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  • Improved KCF tracking algorithm for target occlusion

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Embodiment Construction

[0026] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0027] see figure 1 , the present invention proposes an improved KCF tracking algorithm for target occlusion, which includes the following steps,

[0028] S1. Acquisition of the tracking target, initialize the tracker, read the video information, initialize the target tracker with the first frame image of the video and the tracking target frame, obtain a large number of samples by using the cyclic matrix method, and train the classifier;

[0029] S2. Determine whether the tracking target is blocked, if the tracking target is blocked, then go to step S3, otherwise go to step S6;

[0030] S3, judging whether it is seriously blocked, if yes, then go to step S4, otherwise go to step S5;

[0031] S4. Determine whether the tracking fails,...

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Abstract

The invention belongs to the technical field of image processing, and specifically relates to an improved KCF tracking algorithm for target occlusion. Through the improvement of the KCF tracking algorithm, the anti-occlusion performance of the original algorithm is improved, and the tracking accuracy and the success rate of the algorithm are improved. A target occlusion judging method, a trackingfailure judging method and a template matching target re-positioning algorithm are added to the algorithm to improve the anti-occlusion performance of the original KCF tracking algorithm. The improvedalgorithm is verified by using a Benchmark data set and an own shot car video. It can be seen from the experimental results that the algorithm of the invention is more robust against occlusion videosequences.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an improved KCF tracking algorithm for object occlusion. Through the improvement of the KCF tracking algorithm, the anti-occlusion performance of the original algorithm is improved, and the tracking accuracy and success rate of the algorithm are improved. Background technique [0002] Object tracking is an important research direction in the field of vision. With the progress of society and the development of science and technology, object tracking technology has been widely used in important fields such as behavior recognition, traffic monitoring, navigation guidance, and weaponry. In recent years, target tracking technology has made great progress and development. However, due to various complex factors in reality, such as fast-moving objects, complex backgrounds, object deformation and serious occlusion problems, no algorithm can handle all Therefore, obj...

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Application Information

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IPC IPC(8): G06T7/277G06K9/62
CPCG06T7/277G06T2207/10016G06T2207/20081G06T2207/20056G06T2207/20024G06T2207/20021G06T2207/10024G06F18/2413
Inventor 董恩增李凯峰佟吉钢于晓
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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