Considering that the current method is inefficient in detecting dangerous behaviors of escalator passengers,ISSD target detection algorithm is proposed in pedestrian retrograde detection method,and a passenger retrograde detection model was constructed by combining DeepSort target tracking algorithm with improved Kalman filtering and apparent information extraction module to improve the accuracy of pedestrian retrograde detection.In the pedestrian fall detection method,the key points of passengers'bones extracted by the lightweight improved OpenPose module were transformed into input characteristic parameters by the dangerous behavior automatic acquisition module,and the fall behavior detection model was constructed by wavelet denoising method(WD)combined with random forest method(RF).Results show that the accuracy of pedestrian retrograde detection is improved by 3.5%compared with the unmodified SSD method combined with the unmodified DeepSort target tracking algorithm.Compared with SVM and KNN,the accuracy of pedestrian fall detection by combining lightweight and improved OpenPose module with WD-RF is improved by 2.5%and 1.8%respectively.
关键词
自动扶梯/危险行为检测/机器视觉技术/改进的单激发多框探测器
Key words
escalator/detection of dangerous behavior/machine vision technology/improved single excitation multi-frame detector
维普
万方数据