Machine vision-based passenger cross handrail detection algorithm

Abstract

The invention discloses a machine vision-based passenger crossing handrail detection algorithm. The algorithm comprises steps of 1) collecting a video image and selecting a region of interest (ROI region); 2) using a codebook algorithm to establish a background model of the video and performing a background difference; 3) performing image processing on the foreground obtained; 4) determining whether there is a passenger in the foreground through the gray histogram template of an armrest belt; 5) using the camshift algorithm to track the part of the foreground belonging to the human body; 6) calculating the size of the area corresponding to the foreground of the human body, and the coordinates of the center point; and 7) analyzing whether there is a passenger crossing the handrail through the ratio of the on-handrail area to the outside-of-foreground area as well as the relationship between their center positions. The algorithm of the invention can effectively improve the safety quality of the escalator, avoid the further deterioration of the situation after the emergency, and minimize the damage caused by passengers climbing the handrail on the escalator.

Description

technical field [0001] The invention relates to the technical field of image pattern recognition and elevator production, in particular to a machine vision-based detection algorithm for passengers crossing handrails. Background technique [0002] With the economic growth, the use of escalators has become more and more frequent, and the safety accidents on the escalators that follow are also increasing. Once a passenger climbs over the elevator handrail or lies on the handrail, the escalator cannot react and respond in time, but mechanically maintains the same working mode, which causes the amplification and deterioration of the abnormal situation. It is impossible to arrange emergency workers to monitor the status of escalators and passengers beside each escalator. Therefore, it is very important to allow the escalator to automatically adjust the working mode when an abnormal situation occurs. Using video surveillance images to analyze and process the behavior of passenger...

AI Technical Summary

Problems solved by technology

At present, there are relatively few researches on video surveillance and automatic control of escalators. Therefore, it is necessary to speed up the research and development of escalator video surveillance systems to reduce the probability of escalator safety accidents.

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