Anti-blocking target tracking method based on partitioning

A target tracking and anti-occlusion technology, applied in the field of computer vision, can solve problems such as tracking drift or tracking failure, unable to cope with target size changes, etc., and achieve the effect of increasing tracking speed

Active Publication Date: 2017-12-01
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0009] In view of the above defects or improvement needs of the prior art, the object of the present invention is to provide a block-based anti-occlusion target tracking method, thereby solving the problem that the existing KCF method cannot cope with target size changes and the problems that occur during the tracking process. Technical problems of tracking drift or tracking failure caused by complex scenes

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  • Anti-blocking target tracking method based on partitioning

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[0037]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0038] The present invention utilizes the method of circulant matrix sampling to solve the previous problem of poor tracking accuracy due to insufficient training samples, and utilizes the property that the circulant matrix can be diagonalized in Fourier space to convert the operation of the matrix into the Hadamard product of the vector , that is, the dot product of elements, which greatly reduc...

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Abstract

The invention discloses an anti-blocking target tracking method based on partitioning. In combination of the quick tracking speed and the good tracking effects of a kernel correlation filter (KCF) tracking algorithm, the real-time performance of a partitioning method is ensured. The method uses a high-confidence model updating strategy, a model drift problem of the KCF in the case of blocking can be solved, the tracking speed and the tracking precision are quickened, and besides, when the partitioning method is used, after a part is blocked during the target tracking process, the position information and the reliability of the unblocked part are used reasonably, the position information after the target is blocked is determined accurately, and the robustness of tracking towards blocking is thus improved. As the method can meet the real-time performance, the method can be applied to a real scene.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to a block-based anti-occlusion object tracking method. Background technique [0002] Target tracking has always been a research hotspot in the field of computer vision, and can be applied to military, medical, video surveillance systems, virtual reality, and human-computer interaction scenarios. The main function of target tracking is to locate and track the target in the video stream. The position of the target in each frame of the video sequence can be automatically marked by the computer, which can save a lot of manpower and material resources. However, the current target tracking faces many difficulties, especially complex scenes (such as target occlusion, low resolution image sequence, complex background, fast moving target, target deformation, etc.) will reduce the accuracy of target tracking and affect the use effect. At the same time, in order to pu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/223G06T7/246G06T7/269G06T7/292G06K9/62
CPCG06T7/223G06T7/251G06T7/269G06T7/292G06T2207/20056G06F18/2415
Inventor 凌贺飞罗巍李平
Owner HUAZHONG UNIV OF SCI & TECH
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