Title :
Face detection and tracking for video coding applications
Author :
Menser, Bernd ; Brunig, Michael
Author_Institution :
Inst. fur Elektrische Nachrichtentech., Rheinisch-Westfalische Technische Hochschule (RWTH), Aachen, Germany
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
In video communication applications at low bitrates, coding artifacts are especially disturbing in face areas. Encoding faces with higher quality than background regions requires automatic face detection. This paper presents a robust face segmentation and tracking algorithm and investigates the application to region-of-interest coding with H.263+ and object-based coding with MPEG-4.
Keywords :
face recognition; image segmentation; tracking; video coding; H.263+ coding; MPEG-4; automatic face detection; coding artifacts; face area; object-based coding; quality; region-of-interest coding; robust face segmentation; tracking; tracking algorithm; video coding applications; video communication; Bit rate; Face detection; Humans; Image coding; Image color analysis; Image segmentation; Robustness; Skin; Video coding; Video compression;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.910916
