Journal of Engineering Research

In the elevator, due to interference factors such as occlusion and light, coupled with a small space, the past behavior recognition method with manual design feature extraction is not very good because of the lack of robustness and too complex, and there are interactive behaviors and individual behaviors in the elevator, and it is difficult to identify abnormal behaviors when there are many people. In particular, children and women are more likely to encounter abnormal behavior when taking the elevator, and it is difficult to effectively signal for help and protect themselves; If a person passes out in the elevator due to illness or other reasons when taking the elevator, it is difficult to obtain effective assistance in a short period of time, and often his life is in danger. Through video analysis, pattern recognition and various high-tech means of artificial intelligence, intelligent video surveillance system can identify and detect the number of people in the monitoring screen and whether the behavior is abnormal. The main frame is used to analyze the video stream to obtain the target in the image truth, capture the targets behavior and action, and analyze the video content marker and alarm the abnormal behavior.

AI; Elevator car; Abnormal behavior of personnel; Recognize