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Rapid target tracking method and device

A target tracking and fast technology, which is applied in the field of gravitational search target tracking method and device, can solve the problems of difficulty in meeting real-time requirements, sensitivity to illumination changes and noise, and large amount of calculation of optical flow method, achieving short search time, The method is simple, and the effect of improving real-time and accuracy

Inactive Publication Date: 2016-02-03
YANSHAN UNIV
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Problems solved by technology

Using the pyramid optical flow algorithm needs to calculate the amplitude and direction of the pixel optical flow, which makes the optical flow method a large amount of calculation, it is difficult to meet the real-time requirements, and the optical flow method itself is sensitive to illumination changes and noise, which limits Practical Applications of Optical Flow

Method used

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  • Rapid target tracking method and device

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with accompanying drawing:

[0030] like figure 1 As shown, the steps of the tracking method of the present invention are as follows:

[0031] (1) Gather the video of the target movement through the video acquisition unit, process the video to obtain the grayscale image of the moving image, determine the search space, and manually select the tracking target; mark the target position in the first frame image by manual operation, and save it As a template image, the search image generated later is matched against the template image.

[0032] (2) Parameter initialization, set the particle swarm parameters, the particle swarm parameters include the population size, the number of iterations, the initial value of the gravitational constant G 0 and c 1 、c 2 The value of the constant; determine the target variable, and initially set the random position and speed of the particle swarm; during the initializa...

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Abstract

The invention relates to a rapid target tracking method and a device. The tracking process comprises space identification, target extraction, fitness function calculation and particle parameter calculation and update. A particle update speed is improved so as to make the particle realize faster convergence, a selection mode is employed for particle position update, and optimal solution population evolution is carried out. The device comprises an image acquisition unit, a tracking searching unit and an output unit. The method and the device are advantaged in that, simpleness and high efficiency are realized, searching matching time and computational complexity are reduced, and target tracking accuracy and efficacy are improved.

Description

technical field [0001] The invention relates to the field of image processing and tracking, in particular to an improved gravitational search-based target tracking method and device. Background technique [0002] In the past few decades, people have been inspired by the behavior of "survival of the fittest" in natural biological and ecological systems, and proposed many heuristic optimization algorithms or models, such as artificial bee colony algorithm, double helix structure, ant colony algorithm, Particle swarm optimization algorithm, artificial immune algorithm, simulated annealing algorithm and so on. The above-mentioned intelligent algorithms belong to a class of intelligent computing methods that simulate the biological system in nature to adapt to the environment and optimize its living state. Therefore, these algorithms basically have the characteristics of self-adaptation, self-organization, and self-learning, and the algorithms are applicable and effective under ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 胡硕方红霞武亚宁
Owner YANSHAN UNIV
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