DMCA
Face Tracking and Pose Representation (1996)
| Venue: | In BMVC |
| Citations: | 23 - 4 self |
BibTeX
@INPROCEEDINGS{Mckenna96facetracking,
author = {Stephen Mckenna and Shaogang Gong and J. J. Collins},
title = {Face Tracking and Pose Representation},
booktitle = {In BMVC},
year = {1996},
pages = {755--764}
}
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Abstract
We describe a dynamic face tracking system based on an integrated motion-based object tracking and model-based face detection framework. The motion-based tracker focuses attention for the face detector whilst the latter aids the tracking process. The system produces segmented face sequences from complex scenes with poor viewing conditions in surveillance applications. We also investigate a Gabor wavelet transform as a representation scheme for capturing head rotations in depth. Principal components analysis was used to visualise the manifolds described by pose changes. Qualitative results are given. 1 Introduction In order to analyse and recognise peoples' faces in a realistically unconstrained environment, robust tracking and segmentation are needed to provide sequences of normalised face images. Although such a normalisation process is often treated as a separate preprocessing step, it is an inherent part of face recognition. The ability of a system to produce normalised face seque...
Keyphrases
face tracking pose representation normalised face image head rotation qualitative result principal component analysis inherent part representation scheme complex scene pose change normalisation process robust tracking surveillance application latter aid separate preprocessing step face detector normalised face seque motion-based tracker unconstrained environment face recognition gabor wavelet transform model-based face detection framework dynamic face motion-based object tracking segmented face sequence tracking process
