Research And Application Of Videoanalasis On Bus Passenger Flow Counting

Auto passenger count system is an important part of APTS(Advanced Public Transportation Systems), which can in real time get the count of people getting on or getting off at every bus stop, and then conclude the passenger flow's distributing rules for lines, directions, amount etc. It provides reliable data support for the owner and manager of public transports, so they can improve the efficiency of system, effectively lower the burden of public traffic.In view of the conditions of civil public transport, summarized the existing ways of auto passenger counting, contrasted their advantages and disadvantages. Considering the integrity of passenger flow information is premise of improving accuracy, chose video analysis as study subject. Videos recorded by a vertical camera are experimental data. Every frame was first pretreated by smoothing noise, then according to the different characteristics of objects, tried to segment the objects using Hough-transform, region-growing, and background-subtraction respectively, next, matched and recognized every object in two adjacent frames, finally implemented the tacking and statistics of every passenger.In order to contrast different methods, simplified the conditions by recording videos of walker follow to simulate getting-on, getting-off, crowd and stillness of the bus passenger flow. Many experiments showed that video analysis provides passenger flow counting with higher accuracy, especially in the rush-hour, other ways often can not get complete information. On the other hand, effective segmentation of objects is crucial to improve accuracy of counting. Hough-transform is used to detect objects like a circle; region-growing needs objects'gray value to be in narrow limits; background-subtraction is not strict with objects and achieved good results by improving Gauss background model.