Probabilistic model based automatic target tracking method for moving camera

A technology of probabilistic model and moving target, which is applied in the field of automatic target tracking of moving camera and real-time moving target tracking of moving camera, which can solve the problems of manual selection and single number of targets

Active Publication Date: 2012-01-25
BEIHANG UNIV
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to overcome the disadvantages of the existing target tracking algorithm under the motion camera that the initial target needs to be manually selected, t

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  • Probabilistic model based automatic target tracking method for moving camera
  • Probabilistic model based automatic target tracking method for moving camera
  • Probabilistic model based automatic target tracking method for moving camera

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Embodiment Construction

[0053] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] Such as figure 1 , figure 2 Shown, the concrete realization steps of the present invention are as follows:

[0055]Step (1) initialize the parameters of the training frame before starting tracking and the parameters of real-time moving target tracking including the size of the video image (the present embodiment gets 352 * 288 pixels), the length TC of the training frame (the present embodiment gets 20), calculate the local Th0 (take 1 in this embodiment) and Th1 (take 1 in this embodiment) of the motion region, the number FC of initial corner points (take 500 in this embodiment), and the number k of initial clusters (take 1 in this embodiment), become The minimum probability p of the target (the present embodiment gets 0.3), the background and target size ratio r (the present embodiment gets 2 / 3), the color histogram simila...

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Abstract

The invention provides a probabilistic model based automatic target tracking method for a moving camera, which comprises the following specific steps of: firstly, initializing start tracking parameters and real-time moving target tracking parameters; secondly, utilizing a speed difference function to position an initial moving area, and adopting an improved optimal clustering function to segment a moving target; thirdly, establishing a color probability histogram model for the moving target detected by the current frame and a background search window, and utilizing a posteriori probability function and a color histogram similarity function to adjust the size and position of the target; and finally, using a continuously adaptive mean shift method to find the next-frame moving target to achieve the real-time tracking of the moving target in the dynamic background. In the invention, the reliability of moving target tracking is improved, and the problems of selection of initial targets and multi-target tracking, and the problems that the target and background have the same color and the target color changes can be effectively solved under the moving camera.

Description

technical field [0001] The invention relates to a real-time moving target automatic tracking method under a moving camera, in particular to a probabilistic model-based moving camera automatic target tracking method, which is suitable for real-time moving target tracking of the moving camera. Background technique [0002] Object tracking is an important research direction in the field of computer vision, and has been widely used, such as traffic monitoring systems, people suspicious behavior monitoring systems, and so on. Most scholars conduct research on moving objects in video with a fixed camera, but in practical applications, the system needs to track moving objects in a dynamic background due to camera movement or lens rotation. The difficulty of moving target tracking under dynamic background lies in how to automatically select the initial target model, and how to update the target model and the background. The existing algorithm mainly selects the initial moving targe...

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Application Information

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IPC IPC(8): G06T7/20
Inventor 赵龙伊威肖军波
Owner BEIHANG UNIV
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