Simple and robust tracking of hands and objects for video-based multimedia production
M. Itoh, M. Ozeki, Yutaka Nakamura, Yuichi Ohta · 2003
We propose a simple and robust method for detecting hands and hand-held objects involved in desktop manipulation and its use for indexing the videos. In order to achieve robust tracking with few constraints, we use multiple image sensors, which is a RGB (red, green, blue) camera, a stereo camera, and an infrared (IR) camera. By integrating these sensors, our system realized robust tracking without prior knowledge of an object, even if there was movement whether of people or objects in the background. We experimentally verified the object tracking performance and evaluated the effectiveness of integration.