Title :
Eye tracking and animation for MPEG-4 coding
Author :
Bernogger, Stefan ; Yin, Lijun ; Basu, Anup ; Pinz, Axel
Author_Institution :
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Austria
Abstract :
Accurate localization and tracking of facial features are crucial for developing high quality model-based coding (MPEG-4) systems. For teleconferencing applications at very low bit rates, it is necessary to track eye and lip movements accurately over time. These movements can be coded and transmitted to a remote site, where animation techniques can be used to synthesize facial movements on a model of a face. In this paper we describe and simple heuristics which are effective in improving the results of well-known facial feature detection and tracking algorithms. Animation models are also presented, along with experimental results to demonstrate the system being developed. We focus our discussion only on the detection, tracking and modeling of eye movements
Keywords :
computer animation; data compression; face recognition; feature extraction; image coding; optical tracking; teleconferencing; MPEG-4; animation; eye movement tracking; facial feature detection; image coding; model-based coding; modeling; teleconferencing; Bit rate; Computer graphics; Computer vision; Electrical capacitance tomography; Face detection; Facial animation; Image coding; Image color analysis; Image motion analysis; MPEG 4 Standard;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711935