Vehicle Objects Detection And Speed Measurement Based On Video Images

With the development of digital image processing technology and computer vision technology, video detection technology becomes an important method to obtain traffic parameters such as vehicle speed in the Intelligent Transport System, and gains regard and affirmation by more and more people. To obtain exact traffic information is the foundation of carrying out all functions in the Intelligent Transport System and its subsystems, therefore, using video detection technology to detect moving vehicle objects,collect real-time traffic parameters such as vehicle speed becomes one of emphases in the research and exploiture of the Intelligent Transport System currently.According to the traffic video sequence which collected from city traffic road, consulting study works in video detection, this paper proposed two kinds of moving objects detection methods, and implemented vehicle speed measurement after locating and tracking the detected objects. The major work implemented in this paper is presented as follows:1,Based on current moving objects detection technology, this paper proposed a moving objects detection method based on difference in frames,image threshold segmentation and mathematical morphology, which is aimed at traffic video sequence in the Intelligent Transport System. Besides, the content and procession of this method are illuminated in detail.2,This paper studied object segmentation method which is based on image segmentation. Combined with intelligent optimization algorithms—Artificial Immune System(AIS) and Genetic Algorithm(GA), this paper proposed an improved Genetic Algorithm called Clonal Selection Genetic Algorithm(CSGA). To avoid the improved Genetic Algorithm appearing premature convergence, this algorithm replaced probability selection in Genetic Algorithm by clonal selection. Emulational experimental results show that, image threshold segmentation based on CSGA has good segmentation effects and strong flexibility,as well as its validity and practicability.3,This paper adopted a kind of subpixel location technologies—gravity method of the gray scale for locating moving objects, and through matching the smallest enclosing rectangle of same vehicle object in two consecutive frames to implement objects tracking. finally, vehicle length proportion coefficient in different frames was used to obtain vehicle moving distance and calculate speed.4,Under the Matlab environment, experiment platform of video detection system was established, moving objects detection processing was implemented, as well as moving vehicle speed measurement. Emulational experimental results showed exactness and validity of the methods mentioned in this paper.