Implementation of Person Tracking System in Panorama Based on Personalized Distribution

摘要

Panoramic video is a video collected by multi-channel fisheye lens and obtained by splicing and fusion. Compared with traditional video, panoramic video has better integrity, immersion and presence. Therefore, panoramic video has been widely used in the video field. In order to meet the client's personalized tracking needs in the panoramic broadcast system and panoramic monitoring system, this system designs and implements a people-tracking system based on personalized distribution in the panorama, and provides personalized services for the client to select target objects. Compared with the traditional manual sliding screen for viewing, this automatic live broadcast mode with the target person as the video center greatly improves the user experience. This system uses the method of deep learning to process the panoramic video. After the video is processed by the detection unit based on YOLOv3 and the recognition unit based on ResNet50, the coordinates of the target person in the panoramic video will be obtained. According to the different objects selected by each client, the local video of the corresponding target object is distributed to each client through a streaming media server to meet the personalized tracking needs of different clients.