Method for tracking multi-target vehicles by adopting MCMC (Markov Chain Monte Carlo) algorithm
A Markov Monte Carlo and vehicle tracking technology, which is applied to road vehicle traffic control systems, calculations, computer components, etc., can solve the problems of relying on moving object recognition and simple applicable environment
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[0075] The method of the present invention will be further described below in conjunction with the accompanying drawings.
[0076] see figure 1 , figure 2 and image 3 , the specific content of the main part of the multi-target vehicle tracking method based on the Markov Monte Carlo algorithm is as follows:
[0077] 1. Image acquisition
[0078] The camera is used to collect continuous sequence images at an average speed of 24 frames per second for the specific vehicle driving traffic scene. The image size is 320×240 pixels. After digital processing the collected images, the image Q at the tth moment is obtained. t .
[0079] 2. Image color space transformation
[0080] The role of image color space transformation is mainly to reduce noise, especially the impact of sudden changes in illumination, highlight vehicle color, and improve segmentation efficiency in subsequent steps. The main method is to process the image through K-L transformation. The specific implementation...
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