MULTIMODAL UNSUPERVISED PEDESTRIAN PIXEL-LEVEL SEMANTIC LABELING METHOD AND SYSTEM

Provided in the present disclosure is a multimodal unsupervised pedestrian pixel-level semantic labeling method and system, the method comprising: performing three-dimensional reconstruction on an unmanned monitoring scene, and acquiring initial point cloud information of the monitoring scene; acquiring first point cloud information in the monitoring scene by using a Tof image acquisition device, registering the first point cloud information with the initial point cloud information and then executing a set difference operation to acquire second point cloud information, and projecting the second point cloud information on a horizontal plane to obtain a personnel point cloud information set; expanding and corroding a binary image after thresholding scene information acquired by an infrared image acquisition device to obtain a connected area information set; using positional relationships between calibrated cameras to project the personnel point cloud information set and the connected area information set into a