Title :
3D head tracking and body lean estimation
Author :
Nanda, Harsh ; FujiMura, Kikuo
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Abstract :
A method is presented for a single camera based robust 3D human head tracking in highly cluttered and complex real world environments. The method makes effective use of a recently introduced real-time 3D depth sensing technology, resulting in illumination-invariant face tracking. The tracker´s robust head depth estimates are further used for an important application of body lean estimation.
Keywords :
cameras; edge detection; face recognition; image sensors; motion estimation; real-time systems; body lean estimation; camera; head depth estimation; illumination invariant face tracking; real-time 3D depth sensing technology; robust 3D human head tracking; Color; Computer science; Detectors; Face detection; Head; Humans; Image edge detection; Layout; Monitoring; Robustness;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1251968