Target tracking method based on Fourier-Merlin transform

A technology of Merlin transform and target tracking, which is applied in the field of target tracking based on Fourier-Mellin transform, and can solve problems such as size transformation and occlusion
CN112184764APending Publication Date: 2021-01-05TAIYUAN UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
TAIYUAN UNIV OF TECH
Publication Date
2021-01-05

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Abstract

The invention provides a target tracking method based on Fourier-Merlin transform, and belongs to the field of computer vision and digital image processing. The problems of rotation and scale change of a tracked target in a target tracking technology are solved; the method comprises the following specific steps: reading a to-be-tracked video frame sequence, selecting a to-be-tracked target in a first frame mark, performing feature extraction on a search region, converting the search detection region from a Cartesian coordinate system to a logarithmic polar coordinate system, performing rotation and scale transformation on the target under the Cartesian coordinate system, and further converting the target into translation transformation under the logarithmic polar coordinate system; employing fourier-Merlin transform to obtain a tracking target rotation angle and a scale transform size; and carrying out interpolation updating on the tracked target template. According to the method, highrobustness and long-time real-time tracking can be realized, and when the target rotates or the scale changes, the target can be tracked in time.
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Description

technical field

[0001] The invention relates to the fields of computer vision and digital image processing, in particular to a target tracking method based on Fourier-Mellin transform. Background technique

[0002] Target tracking technology is an important branch of computer vision. It is widely used in human-computer interaction, video surveillance, drone detection and other fields. With the development of computer vision and artificial intelligence, target detection and tracking are being given more and more attention. focus on. However, since the tracked object may be in a complex environment, there are many factors such as illumination changes, rigid deformation, fast motion, partial occlusion, and complicated background in the application. It is always a challenge to find a fast and stable tracking method suitable for object changes.

[0003] Recently, various tracking methods have been proposed, which can be divided into two main categories: one is generative and the...

Claims

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