The Research Of Multiple Passengers Moving Object Recognition And Counting Based On Video

Automatic Passenger counting (APC) technology can automatically count the number of the passengers at some districts through using some testing method. Automatic passenger counting is especially one of important function module of modern intelligent bus system, it can provide insurance for decision-making of real-time scheduling, optimization and forecasting. Excellent passengers counting system can precisely keep track of passengers’number, save business operation cost, assist managers to understand the operation situation in real time, achieving a more efficient public transport system operational management.In comparison with other passengers’automatic counting system, an automatic passenger count method based on digital image processing technology is increasingly to be a focus in the field of modern intelligent transportation system research. Among lots of methods, the design of multi-moving targets detection and counting functions is the very core content. The effect of multi-moving targets detection and counting directly affect the entire system’s precision.This paper uses the digital image processing platform, puts forward a new algorithm about multi-passengers target recognition based on image sequence, and constructs an automatic passengers counting system whose input is the real-time images collected by cameras. Through the automatic image recognition method, the system can automatically output the passengers’number. Multi-passengers target recognition needs to realize these three functions: multi- passengers target detection, multi- passengers target tracking, multi- passengers target counting. The existence of light, head sheltering, changes of the weather changes can all influence the realization of the function of the system. In order to improve the robustness of the image detection, background image modeling is based on adaptive model methods. About the passenger target recognition, it sets up an evaluation model using the similarity between shape features of the passengers’heads and the rounds, which reduces the system calculation and improves the efficiency; About targets tracking algorithm, Mean Shift algorithm including color and probability information is used to design affine transformation, improving the system‘s robustness. About counting methods, target sequence concept is put forward to assist realizing the tracking and counting of the moving targets on bus.This paper includes some simulation experiences about the new technology, new method in multi-passengers target recognition and counting field based on image sequence. The experiments show that the system can effectively control information of different times and different areas about passengers flow, realizes its accurate traffic statistics. Thus, researches in this paper provide intelligent transportation system.