Bus passenger flow volume statistical method and system based on binocular camera

Abstract

The invention discloses a bus passenger flow volume statistical method and system based on a binocular camera in the technical field of image recognition, and the method comprises the steps: collecting passenger flow image information at a bus entrance based on the binocular camera; and inputting the acquired passenger flow image information into the trained bus passenger flow statistical model to obtain the passenger flow data of the entering bus. The method and system has the advantages of being high in passenger flow volume statistical accuracy, higher in applicability to various types of binding and complex backgrounds and the like.

Description

technical field

[0001] The invention belongs to the technical field of image recognition, and in particular relates to a method and system for bus passenger flow statistics based on binocular cameras. Background technique

[0002] At present, common people flow counting techniques include manual counting methods, IC card-based methods and traditional machine learning-based passenger flow counting methods; manual counting mainly records the number of people entering and leaving through the staff, and manually summarizes statistics at the terminal station. The advantage of this method is that the accuracy rate is high, but the workload of personnel is relatively large and it is impossible to network online statistics in real time. Based on the IC card method, the IC card stores a large amount of personal information. This method records the ID of each card-swiping person for passenger flow statistics. The advantage is that there is no need to arrange additional staff to count ...

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