Head Detection And Counting Method Based On Stereo Vision

Head detection and counting system is an important research direction of intelligent control, it has extensive application value. In public places such as subway and train stations, the number of passenger flow statistics provide data management for accurate control of passenger flow; In the bus and the elevator, traffic statistics have important reference value for public security and traffic allocation; For large supermarkets and shopping malls and other enterprises, the use of the number of statistical data related to business analysis and data mining can help enterprise to guide the market decision. Therefore, the number of statistics about social significance and market value makes it become the research hotspot in the field of intelligent video surveillance.Technique based on the stereo vision is advanced to the head of the detection and counting method, this paper mainly focuses on the research of binocular stereo vision of passive stereo vision technology in the design and implementation of a head detection and counting based on, and then aiming at the limitation of passive stereo vision with the advanced active stereo vision technology, design and realization of the detection and counting methods in depth on the camera head.In the research of detecting and counting method of binocular stereo vision in human head, first of all, the calibration of binocular camera internal and external parameters of the camera are obtained.Then, the disparity map is get by using a fast stereo cross scale dynamic support windows cost aggregation matching method. Finally, combine the vertical depth map and the characteristics of the camera head distance distance recently detected the man's head. In the whole process, this paper designs a new stereo matching algori thm, and improved the disparity map head detection and counting algorithm based on. The experimental results show that the head detection and counting method based on binocular stereo vision of low cost, not only high accuracy, but also can adapt to the co mplex environment changes, and the strong robustness.Based on the active stereo vision method in depth camera, a novel method D-RWS(Depth map based Rainfalling Watershed Segmentation)is proposed. Depth map is inpainted and foreground is extracted with the help of mixture of Gaussian background model. D-RWS algorithm is used to segment head area as Region Of Interest(ROI). People are tracked and counted by analyzing trajectories, which associated by minimal Euclidean distance between the centers. Experiment al results show that proposed people counting system can, on average, count people with an accuracy of 98% and operate at approximately 25 milliseconds per frame(40 f/s).The accuracy and real-time performance fully meet the requirements of practical application.Finally, this paper summarizes the active stereo vision and passive stereo vision method to detect and count two heads. It Solved the traditional method for pedestrian block and light mutations can lead to the problem of low accuracy. Binocular metho d is robust, but real-time performance slightly less. Methods the depth sensor with structured light technology has also led to the range of its vision and the effective distance is smaller, affected by the infrared component in the sunlight can not adapt to the outdoor environment. In economic factors, indoor and outdoor applications and real-time performance requirements of different application scenarios,we can according to the actual need to select one of the appropriate solution.