A CORRECTIVE FRAMEWORK FOR FACIAL FEATURE DETECTION AND TRACKING

Hussein O. Hamshari, Steven S. Beauchemin, Denis Laurendeau, Normand Teasdale

Abstract

Epidemiological studies indicate that automobile drivers from varying demographics are confronted by difficult driving contexts such as negotiating intersections, yielding, merging and overtaking. We aim to detect and track the face and eyes of the driver during several driving scenarios, allowing for further processing of a driver’s visual search pattern behavior. Traditionally, detection and tracking of objects in visual media has been performed using specific techniques. These techniques vary in terms of their robustness and computational cost. This research proposes a framework that is built upon a foundation synonymous to boosting. The idea of an integrated framework employing multiple trackers is advantageous in forming a globally strong tracking methodology. In order to model the effectiveness of trackers, a confidence parameter is introduced to help minimize the errors produced by incorrect matches and allow more effective trackers with a higher confidence value to correct the perceived position of the target.

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Paper Citation


in Harvard Style

O. Hamshari H., S. Beauchemin S., Laurendeau D. and Teasdale N. (2008). A CORRECTIVE FRAMEWORK FOR FACIAL FEATURE DETECTION AND TRACKING . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 130-138. DOI: 10.5220/0001070401300138


in Bibtex Style

@conference{visapp08,
author={Hussein O. Hamshari and Steven S. Beauchemin and Denis Laurendeau and Normand Teasdale},
title={A CORRECTIVE FRAMEWORK FOR FACIAL FEATURE DETECTION AND TRACKING},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={130-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001070401300138},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - A CORRECTIVE FRAMEWORK FOR FACIAL FEATURE DETECTION AND TRACKING
SN - 978-989-8111-21-0
AU - O. Hamshari H.
AU - S. Beauchemin S.
AU - Laurendeau D.
AU - Teasdale N.
PY - 2008
SP - 130
EP - 138
DO - 10.5220/0001070401300138