Method of counting passenger flow in passenger station non entrance-exit area based on video monitoring

Abstract

The invention provides a passenger flow counting method. In view of the feature that an image photographed at the passenger station non entrance-exit area is likely to be blocked, head and shoulder haar-like features which are not likely to be blocked and whose forms remain basically unchanged of the passenger are raised to detect the passenger, the accuracy of detecting whether to be the passenger is high, and the method is applicable to an application scene in which the passenger image is blocked. After detection, through a Kalman filter and the above passenger detection method, double tracking is carried out on the position of each frame of image of the passenger, and thus, the tracking accuracy is ensured. Experiments prove that the method can achieve good tracking effects in view of features that poses of passengers at the passenger station non entrance-exit area are changeable, behaviors are complicated, and the walking directions are hard to predict. Through accurately detecting and tracking the passengers, the method provided by the invention can effectively record the movement track of the passenger, passenger target matching is ensured, error detection and missing detection are reduced, and the person number counting precision is improved.

Description

technical field [0001] The present invention relates to the field of passenger flow statistics, and more specifically, to a method for passenger flow statistics of non-entrance and exit areas of passenger stations based on video monitoring. Background technique [0002] Passenger flow detection using surveillance video has always been a hot spot in the research and application of video intelligent analysis. Since the human body is a non-rigid object, its posture changes during the process of travel, and the background environment is complex and the lighting conditions are diverse. In addition, the occlusion and adhesion caused by the projection principle during video shooting have brought great challenges to the development of passenger flow detection technology. Passenger flow detection methods mainly include three links: pedestrian detection, pedestrian tracking, and people counting. Related research is summarized as follows: [0003] (1) Pedestrian detection [0004] Pe...

AI Technical Summary

Problems solved by technology

[0018] However, for the non-entrance area of ​​the passenger station, the shooting direction of the general monitoring camera is mainly in the downward direction and the large observation field, and the collected images are prone to pedestrian occlusion; moreover, the posture of pedestrians in the non-entrance area Changeable, complex behavior, and unpredictable walking direction

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