Target tracking method based on edge feature fusion

An edge feature and target tracking technology, which is applied in image data processing, instrumentation, computing, etc., can solve the problem of Camshift tracking method tracking performance degradation and achieve the effect of improving robustness

Active Publication Date: 2019-03-01
TIANJIN POLYTECHNIC UNIV
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Problems solved by technology

Among the existing tracking methods, when there is a large difference between the target and the background, the Camshift tracking method has better tracking performance. The Camshift tracking method recognizes the chroma feature of the target. There will be a noticeable drop in tracking performance for the method

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  • Target tracking method based on edge feature fusion
  • Target tracking method based on edge feature fusion
  • Target tracking method based on edge feature fusion

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Embodiment Construction

[0008] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0009] The edge feature is an inherent feature of the image. Compared with the color feature, the edge feature has better invariance to the overall illumination change of the image. At the same time, the edge feature can reflect the shape and detail information of the target, and can be used as the difference between the target and the background. important features to use. However, although the traditional integer-order edge detection operator can greatly improve the high-frequency signal of the image, it does have a significant weakening effect on the middle and low-frequency signals. The fractional order differential is used to construct the edge detection operator, which can enhance the high-frequency signal, strengthen the intermediate-frequency signal to a certain extent, and preserve the nonlinearity of the low-frequency signal at the same time. This ...

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Abstract

The invention belongs to the field of image processing and target tracking, in particular to a target tracking method fusing edge features. The R-L fractional differential edge detection operator andLaplacian edge detection operator are fused to construct a hybrid edge detection operator, which can detect the edge feature information of the target template and scene image. Based on the two histogram models of target chromaticity and edge feature, an adaptive fused backward probability projection map is established to improve the adaptability of the tracking method to uncertain environmental change information. The invention can be applied to a real-time monitoring system.

Description

technical field [0001] The invention belongs to the field of image processing and target tracking, and relates to a moving target tracking method, in particular to a moving target tracking method integrating fractional differential edge features. Background technique [0002] The identification and tracking of moving targets has a wide range of applications in various industries, military, civil and other fields. Usually, target tracking requires both real-time and accuracy of the tracking method, that is, the tracking method should complete the accurate positioning and tracking of the target within a small calculation time. Among the existing tracking methods, when there is a large difference between the target and the background, the Camshift tracking method has better tracking performance. The Camshift tracking method recognizes the chroma feature of the target. There will be a noticeable drop in trace performance for the method. [0003] Therefore, it is of great appli...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/246
CPCG06T2207/10016G06T7/13G06T7/251
Inventor 修春波李欣李鸿一
Owner TIANJIN POLYTECHNIC UNIV
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