DocumentCode :
3595762
Title :
An Online Motion-Based Particle Filter for Head Tracking Applications
Author :
Bouaynaya, Nidhal ; Qu, Wei ; Schonfeld, Dan
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Chicago, IL, USA
Volume :
2
fYear :
2005
Firstpage :
225
Lastpage :
228
Keywords :
importance sampling; motion estimation; optical tracking; video signal processing; ABM motion estimation; CONDENSATION filter; Kullback-Leibler performance measure; adaptive block matching; finite sample number; importance sampling; motion-based proposal; online motion-based particle filter; posterior; proposal density; transition prior; video sequence probabilistic head tracking; Application software; Filtering; Monte Carlo methods; Motion estimation; Motion measurement; Particle filters; Particle tracking; Proposals; Vehicle dynamics; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415382
Filename :
1415382
Link To Document :
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