A hierarchical framework for face tracking using state vector fusion for compressed video

Author

Wang, Jun ; Achanta, Radhakrishna ; Kankanhalli, Mohan ; Mulhem, Philippe

Author_Institution

Sch. of Comput., Nat. Univ. of Singapore, Singapore

Volume

3

fYear

2003

fDate

6-10 April 2003

Abstract

Faces usually are the most interesting objects in certain categories of video, like home videos and news clips. A novel sensor fusion based face tracking system is presented that tracks faces in compressed video, and aids automatic video indexing. Tracking is done by fusing the measurements from three independent sensors - motion and colour based trackers (Achanta, R. et al., IEEE Int. Conf. on Multimedia and Expo, 2002) and a face detector (Wang, J. et al., Proc. Int. Workshop on Advanced Image Technology, 2002) using a novel hierarchical framework based on Kalman filter state vector fusion. The tracking results show that the fused results are better than those of any individual sensors or their mean.

Keywords

Kalman filters; face recognition; image colour analysis; image motion analysis; object detection; optical tracking; sensor fusion; video signal processing; Kalman filter; automatic video indexing; colour based tracker; compressed video; face detector; face tracking; hierarchical framework; motion based tracker; sensor fusion; state vector fusion; Conferences; Detectors; Face detection; Image coding; Indexing; Motion measurement; Multimedia systems; Sensor fusion; Tracking; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1199144

Filename

1199144