Title :
Tracking Facial Markers with an Adaptive Marker Collocation Model
Author_Institution :
Dept. of Comput. Sci., Univ. of Sheffield, UK
fDate :
March 18-23, 2005
Keywords :
object detection; optical tracking; parameter estimation; video signal processing; adaptive marker collocation model; audio-visual corpus; facial marker tracking; marker collocation statistics estimation; missing marker position estimation; tracking errors; video frames; Active shape model; Computer science; Europe; Humans; Nose; Robustness; Shape measurement; Speech; Statistics; Tracking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415492