Escalator passenger flow volume statistical method based on video monitoring
An escalator and video surveillance technology, applied in computing, computer parts, image data processing, etc., can solve problems such as interference, information waste, and unutilized rich-color information, and achieve the effect of improving the ability to resist light interference
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[0038] The present invention will be further described below in conjunction with specific examples.
[0039] like figure 1 As shown, the escalator passenger flow statistics method based on video surveillance provided by the present embodiment, its specific circumstances are as follows:
[0040] 1) Use the open source labeling tool labelImg to label the head images of passengers on the floor plate collected by the camera, and build a data set of passenger heads in the escalator. The label information is (x, y, w, h, c), which represent the heads of passengers in the image In the relative abscissa, relative ordinate, relative width, relative height and category, since there is only one category, c is uniformly marked as 0, and then according to the ratio of 7:3, the data set is divided into training set, verification set, training set The head images of the set are used for YOLOv3 training, while the verification set images are used to select the best trained YOLOv3 model.
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