Title :
Visual Tracking Using Depth Data
Author :
Nanda, Harsh ; FujiMura, Kikuo
Author_Institution :
University of Maryland
Abstract :
A method is presented for robust tracking in highly cluttered environments. The method makes effective use of 3D depth sensing technology, resulting in illumination-invariant tracking. A few applications using tracking are presented including face tracking and hand tracking.
Keywords :
gesture recognition; real-time depth data; shape analysis; Application software; Computer science; Computer vision; Face detection; Head; Image edge detection; Robustness; Shape; Stereo vision; Target tracking;
Conference_Titel :
Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on
DOI :
10.1109/CVPR.2004.202
