Method for detecting density of passengers in bus on basis of image analysis

Abstract

The invention discloses a method for detecting density of passengers in a bus on the basis of image analysis. The method includes the steps that (1) a binocular camera is arranged at the front end of the inside of the bus, and video images are shoot; when no passengers are in the bus, the images of the binocular camera are processed, so that depth images of the background in the bus are obtained; (2) a foreground objective of the area where the passengers stand in the bus is obtained; (3) by means of the perspective effect of the binocular camera, perspective correction is carried out on the image of the foreground objective of the area, the density is primarily divided into a low level and a medium and high level according to the area of the foreground, and if the density is in the medium and high level, the fourth step is carried out; (4) the video image of one camera body of the binocular camera at the same moment is captured and grayed, and texture features of the image are extracted; (5) detected passenger density information and geographical position information are stored. The method effectively solves problems occurring in the prior art, and the density of the passengers in the bus is detected by analyzing the images shot by the binocular camera.

Description

technical field [0001] The invention relates to a method for detecting the density of passengers in a bus, in particular to a method for detecting the density of passengers in a bus based on image analysis. Background technique [0002] As an important means of transportation for people to travel, buses have become an indispensable part of urban life. By analyzing the passenger density (high, medium, low) in the bus, we can grasp the passenger density information of each time period and each bus, so as to improve the intelligent dispatching system, make better use of the advantages of intelligent public transportation, and make public resources more efficient. Fully utilized, thereby affecting the operation of the intelligent transportation system and the operating efficiency of the bus company. At present, there are existing domestic detection methods for crowds in buses. If a bus company wants to know the passenger density in a certain road at a certain time, it must have...

AI Technical Summary

Problems solved by technology

At present, there are existing domestic detection methods for crowds in buses. If a bus company wants to know the passenger density in a certain road at a certain time, it must have a special person or a bus driver to estimate and record it, which is time-consuming, laborious, and inconvenient. It is also not in line with the concept of smart bus

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