Neural network-based head pose estimation and multi-view fusion
M Voit, K Nickel, R Stiefelhagen�- …�CLEAR 2006, Southampton, UK, April 6�…, 2007 - Springer
In this paper, we present two systems that were used for head pose estimation during the
CLEAR06 Evaluation. We participated in two tasks:(1) estimating both pan and tilt
orientation on synthetic, high resolution head captures,(2) estimating horizontal head
orientation only on real seminar recordings that were captured with multiple cameras from
different viewing angles. In both systems, we used a neural network to estimate the persons'
head orientation. In case of seminar recordings, a Bayes filter framework is further used to�…
CLEAR06 Evaluation. We participated in two tasks:(1) estimating both pan and tilt
orientation on synthetic, high resolution head captures,(2) estimating horizontal head
orientation only on real seminar recordings that were captured with multiple cameras from
different viewing angles. In both systems, we used a neural network to estimate the persons'
head orientation. In case of seminar recordings, a Bayes filter framework is further used to�…
[PDF][PDF] Neural Network-based Head Pose Estimation and Multi-view Fusion–Draft Version–
M Voit, K Nickel, R Stiefelhagen - 2005 - researchgate.net
In this paper, we present two systems that were used for head pose estimation during the
CLEAR06 Evaluation. We participated in two tasks:(1) estimating both pan and tilt
orientation on synthetic, high resolution head captures,(2) estimating horizontal head
orientation only on real seminar recordings that were captured with multiple cameras from
different viewing angles. In both systems, we used a neural network to estimate the persons'
head orientation. In case of seminar recordings, a Bayes filter framework is further used to�…
CLEAR06 Evaluation. We participated in two tasks:(1) estimating both pan and tilt
orientation on synthetic, high resolution head captures,(2) estimating horizontal head
orientation only on real seminar recordings that were captured with multiple cameras from
different viewing angles. In both systems, we used a neural network to estimate the persons'
head orientation. In case of seminar recordings, a Bayes filter framework is further used to�…
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