The invention discloses an elevator passenger abnormal behavior detection method and system, terminal equipment and a storage medium. The method comprises the steps that a video frame image in an elevator is obtained; converting the video frame image into an HSV color space image; carrying out ROI region segmentation on a human body in the HSV color space image to obtain human body key points; identifying the human body key points to obtain key point connection data and key point coordinate data of the corresponding passengers; and based on the key point connection data and the key point coordinate data, carrying out classification identification on the behavior of the passenger, and based on a classification identification result, determining whether the behavior of the passenger is an abnormal behavior. According to the method, the calculation efficiency is improved, meanwhile, recognition errors caused by environmental factors are eliminated, the recognition accuracy of the abnormal behaviors in the elevator is improved, and the detection requirement is met.
本发明公开了一种电梯乘客异常行为检测方法、系统、终端设备及存储介质,该方法包括:获取电梯内的视频帧图像;将视频帧图像转换为HSV色彩空间图像;对HSV色彩空间图像中的人体进行ROI区域分割,得到人体关键点;对人体关键点进行识别,得到对应乘客的关键点连接数据和关键点坐标数据;基于所述关键点连接数据和关键点坐标数据,对所述乘客的行为进行分类识别,基于分类识别结果判断所述乘客的行为是否为异常行为。本发明提高了计算效率,同时还消除了环境因素造成的识别误差,提高了电梯内异常行为识别准确性,满足检测需求。
Elevator passenger abnormal behavior detection method and system, terminal equipment and storage medium
电梯乘客异常行为检测方法、系统、终端设备及存储介质
2022-04-05
Patent
Electronic Resource
Chinese
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