The Research Of Public Transportation Technology Based On Image Processing And Detecting

Image segmentation and image tracking are two procedures in image processing. They are both independent and correlated with each other. Segmentation is the basis of tracking, the quality of which directly decides the effect of tracking. Tracking is the high-level application of image segmentation, which reflects the practical value of segmentation, and their combination promotes the development of image_ processing technology. In this paper the two techniques are effectively integrated. A segmentation algorithm is adopted which combines both inter-frame and inner-frame. A multi-thread tracking algorithm based on characteristic point sets of partial lines is proposed and applied to intelligent supervision. Automatic detection of flow of people and vehicles is realized and the problem of target objects self-coverage and partial coverage of each other in the area of intelligent image tracking and processing is solved.In the section of preprocessing, special methods to enhance the contrast between face features and face skin and a local thresholding method were employed so that the result of the preprocessing was improved. In the section of dividing the image, the author uses many classical dividing algorithms for reference and adopts the dividing algorithms blending the inner and outer frames so as to divide he video stream dynamically. In the image-tracking part, the author adopts the multi-thread algorithm based on points characteristic of part outlines and take into the conception of points derived from margins. By this means, the author solves the problems of imcompleteshadowing or subshadowing. In the image-tracking course. In the meantime, this article develops a software about dividing images and multithread tracing using VC++6.0, and uses it in practice successively.