Escalator flow monitoring method and system based on human skeleton information and multi-target tracking
A multi-target tracking and human skeleton technology, applied in the field of escalator flow monitoring, can solve the problems of lack of efficient and stable escalator flow monitoring technology, and achieve the effects of maintaining accuracy, improving accuracy, and assisting on-site management
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[0024] Escalator flow monitoring method based on human skeleton information and multi-target tracking, such as figure 1 As shown, this embodiment includes the following steps: S100: Obtain a surveillance video image of the escalator area through a camera; the surveillance video image of the escalator area includes an escalator entrance image and an escalator exit image, respectively image 3 , Figure 4 Shown.
[0025] S200. Use the OpenPose deep learning network model to extract the human skeleton from the current frame image; the OpenPose deep learning network model is specifically: BODY_25, COCO or MPI.
[0026] S300. Collect misdetection and real passenger skeleton information, and label them accordingly to construct a positive and negative sample of normal pedestrian skeleton and misdetection skeleton data.
[0027] S400. Use the SVM classifier to construct a classification model.
[0028] S500: Classify the real-time skeleton information, retain the correct skeleton information, ...
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