This paper describes the video-based face recognition evaluation performed under the CHIL project and the systems that participated to it, along with the obtained first year results. The evaluation methodology comprises a specially built database of videos and an evaluation protocol. Two complete automatic face detection and recognition systems from two academic institutions participated to the evaluation. For comparison purposes, a baseline system is also developed using well-known methods for face detection and recognition.
Citation:
Haz?m Kemal Ekenel, Aristodemos Pnevmatikakis, "Video-Based Face Recognition Evaluation in the CHIL Project - Run 1," fg, pp.85-90, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006