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Hyper complex crosscorrelation and target centre distance weighting combined tracking algorithm

A technology of center distance and tracking algorithm, applied in computing, image data processing, instruments, etc., can solve the problems of losing color information and not being able to represent the color association of color images

Inactive Publication Date: 2008-04-09
上海龙东光电子有限公司
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Problems solved by technology

[0003] In the field of color target tracking, many tracking algorithms extract the grayscale information of the color target as the tracking feature, and lose the color information of the target; however, almost all color target tracking methods are simple extensions of grayscale image processing methods. Most of them are simple synthesis of each component of RGB, YIQ or HIS space, for example, take the average value of each component or add the results of each component's separate processing, such processing methods cannot represent the color correlation of color images

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  • Hyper complex crosscorrelation and target centre distance weighting combined tracking algorithm

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specific Embodiment approach

[0045] This section illustrates the specific implementation of the present invention through an experimental example of vehicle tracking. The tracking target of this tracking example is the blue car, as shown in Figure 4(a), and there is a red car with the same shape as the blue car in the image of the kth frame, as shown in Figure 4(c). The specific embodiment of the present invention is as follows:

[0046] 1. Establish the target template: in the first frame of the image, take the center position of the blue car (x c ,y c ) as the center of the ellipse to represent the target, determine a certain range of search area, and fill the surrounding pixels with zeros, as shown in Figure 4(b). Carry out "center distance weighting" on the target image of the blue car, and the super complex color feature model f of the target pixel after weighting T As shown in (7) formula.

[0047] 2. Target tracking process:

[0048] 1) Read in the image of the kth frame.

[0049] 2) Determin...

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Abstract

The invention belongs to colorful target tracking technical field, specifically a target tracking arithmetic of combination of 'supercomplex cross correlation' and 'target-center distance weighing'. Most target tracking arithmetic extract gray level information of a colorful target as tracking features, which losses color information of the target. Almost all colorful target tracking methods are the simple expansions of gray level image processing method and cannot represent color relation of the colorful target. Even if color difference between two colorful objects is high, gray levels thereof may be similar to each other, so that mis-matching may be caused by conventional real number matching method. The invention employs supercomplex cross correlation method to process the colorful image as a vector, which provides the whole colorful feature of the target and provides more useful information for matching the target. By combining supercomplex cross correlation and 'target-center distance weighing' to improve anti-jamming ability for target tracking, accurate tracking on a colorful target is realized more successfully.

Description

technical field [0001] The invention belongs to the technical field of color target tracking, and in particular relates to a target tracking algorithm combining "super-complex cross-correlation" and "target center distance weighting". Background technique [0002] Compared with the traditional cross-correlation technology, the super-complex cross-correlation technology can better reflect the color correlation of the image. It expresses the mapping and rotation between the colors of two frames of images, and finds the maximum modulus value of the super-complex cross-correlation, which can be used for image registration. Color rotation axis and rotation angle information [1] , to reduce the impact of lighting changes, etc., and can also be reversed to perform image color correction. Today, hypercomplex cross-correlation techniques have been applied to image registration of color images [1] , spectral analysis [3] , image data compression and edge detection [4] and many oth...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T7/231G06T7/246
Inventor 陈应光
Owner 上海龙东光电子有限公司
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