Probabilistic model based automatic target tracking method for moving camera

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...

AI Technical Summary

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, the number of targets is single, the color of the target and the background overlap, and the color of the target itself changes, and a motion camera based on a probability model is proposed Automatic Object Tracking Method

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