Abstract
In this thesis, we develop a real-time arm pointing system. The main contribution of the system is using three cameras to track the pointing arm and identify several pointing targets in 3-D space. The system allows the user to make the arm pointing and the walking in a work space at the same time. The novelty of our method is directly tracking two 3-D points representing the pointing line in 3-D space and then refining the tracking results. We take advantages of Direct Linear Transformation (DLT) to extend the samples of particle filter to 3-D space. In our system, the pointing targets are not necessarily visible in any one of the three views. In the experiments, we show that our system will finish analyzing each frame of video in about 1/6 second. The pointing accuracy of our system is measured by 80 times of pointing test to eight designated 3-D targets by five users. The success rate of our system is above 90%.