标题：Robust 3D Human Tracking based on Kinect
作者：Min, Li; Yang, Yang; Liu, Yun-Xia; Leng, Yan
作者机构：[Min, Li; Yang, Yang] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; [Liu, Yun-Xia] Shandong Univ, Sch Control Sci & Engn, 更多
会议名称：34th Chinese Control Conference (CCC)
会议日期：JUL 28-30, 2015
来源：2015 34TH CHINESE CONTROL CONFERENCE (CCC)
关键词：Auto-tracking system; Depth image; Stepping Motor; Kinect
摘要：Unlike conventional human detection in RGB images or intensity images, we investigate three dimensional (3D) Human detection and tracking in depth sequence in this paper. Boundary problem is a critical issue that influences performance of detection and tracking. In this paper we design a tracking system consisting of Microsoft Kinect and stepping motor, which can guarantee people always stay in the center of camera vision. Clearly, the boundary problem can be solved efficiently. We also establish an images database, which contains depth images and RGB images for performance evaluation of the proposed auto-tracking system. Experiment results show that the proposed system is robust against variations in illumination, background, pose.