Aerial photographic target tracking method based on scale self-adaptive and shielding handling

A scale-adaptive, occlusion processing technology, applied in the field of computer vision, can solve problems such as inability to track targets, inability to solve target scale changes, tracking failures, etc., to achieve reduced redundant calculations, good robustness, and good accuracy and real-time effects

Active Publication Date: 2016-12-07
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

[0005] The technical defects of the above-mentioned moving target tracking algorithm are: both CSK and KCF trackers use a fixed size to describe the target, which cannot

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  • Aerial photographic target tracking method based on scale self-adaptive and shielding handling
  • Aerial photographic target tracking method based on scale self-adaptive and shielding handling
  • Aerial photographic target tracking method based on scale self-adaptive and shielding handling

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] refer to figure 1 , an aerial target tracking method based on scale adaptation and occlusion processing, comprising the following steps:

[0046] (1) Input the first frame of the video, and initialize the KCF tracker according to the initial position of the target in the first frame, and initialize the current scale Scale as the initial size of the target;

[0047] (2) Mark the scale size of the current target with S: S=Scale;

[0048] (3) Read the next frame for processing, and calculate the peak Peak of the response function f(z) of the KCF tracker at the current scale S: Peak=max(f(z)),

[0049] F(f(z))=F(k xz )⊙F(α)

[0050] Among them, k xz Is the kernel function matrix constructed for the training sample x and the test sample z, F represents the discrete Fourier transform matrix, α is the tracking training parameter, f(z) is a vector containing all cy...

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Abstract

The invention discloses an aerial photographic video tracking method based on scale self-adaptive and shielding handling. The method comprises the steps that as for each frame of input image of an aerial photographic video, the peak value of a KCF tracker response function under the current scale is calculated, whether a target is shielded is judged, updating of the tracker parameters is stopped if the judgment result is yes, or scale change detection is continued; and a large scale or a small scale is calculated through a threshold limiting method every time, the optical scale for describing the current target state is detected and the tracker parameters of the current scale are updated. The method has great robustness and real-time performance in the process of tracking the target in the aerial photographic video so that accurate and continuous tracking of the aerial photographic target can be realized.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to an aerial video tracking method in the technical field of moving target tracking. The invention can well deal with the scale change and occlusion problems in the tracking process of the aerial photography video, and realize accurate and continuous tracking of the aerial photography target. Background technique [0002] Moving object tracking is one of the key research issues in the field of computer vision, and it has a wide range of applications in the fields of visual surveillance, unmanned driving, human-computer interaction, and intelligent robots. [0003] Moving target tracking under aerial video is a special application of target tracking, and it is a key technology in tasks such as unmanned aerial vehicle reconnaissance, space-based monitoring and command, and detection of geographical disasters. Aerial video is characterized by small target size, lar...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/10016G06T2207/20081
Inventor 田玉敏贾佩佩方敏潘蓉
Owner XIDIAN UNIV
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