Robust real time face tracking for the analysis of human behaviour

Authors:
Damien Douxchamps;Nick Campbell
Affiliations:
Image Processing Laboratory, Nara Institute for Science and Technology, Nara, Japan;National Institute of Information and Communications Technology & ATR Spoken Language Communication Research Labs, Kyoto, Japan
Venue:
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Year:
2007

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Abstract

We present a real-time system for face detection, tracking and characterisation from omni-directional video. Viola-Jones is used as a basis for face detection, then various filters are applied to eliminate false positives. Gaps between two detection of a face by the Viola-Jones algorithms are filled using a colour-based tracking. This system reliably detects more than 97% of the faces across several one-hour videos of unconstrained meetings, both indoor and outdoor, while keeping a very low false-positive rate (