@inproceedings{aa2cdeb4224245218de7e4cf9ae6042c,
title = "Multi-cue facial feature detection and tracking",
abstract = "An efficient and robust facial feature detection and tracking system is presented in this paper. The system is capable of locating a human face automatically. Six facial feature points (pupils, nostrils and mouth corners) are detected and tracked using multiple cues including facial feature intensity and its probability distribution, geometric characteristics and motion information. In addition, in order to improve the robustness of the tracking system, a simple facial feature model is employed to estimate the relative face poses. This system has the advantage of automatically detecting the facial features and recovering the features lost during the tracking process. Encouraging results have been obtained using the proposed system.",
author = "Jingying Chen and Tiddeman, {Bernard Paul}",
note = "Chen, J., Tiddeman, B.P. (2008). Multi-cue facial feature detection and tracking. In: Proceedings of the 3rd International Conference on Image and Signal Processing, Lecture Notes In Computer Science, 5099, pp. 356-367, 2008; Proceedings of the 3rd International Conference, ICISP 2008 ; Conference date: 01-07-2008 Through 03-07-2008",
year = "2008",
month = jul,
day = "1",
doi = "10.1007/978-3-540-69905-7_41",
language = "English",
isbn = "978-3-540-69904-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "356--367",
editor = "Abderrahim Elmoataz and Olivier Lezoray and Fathallah Nouboud and Driss Mammass",
booktitle = "3rd International Conference, ICISP 2008",
address = "Switzerland",
}