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» Detection and Tracking of Facial Features in Video Sequences
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CVPR
2008
IEEE
15 years 11 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
ICMI
2004
Springer
215views Biometrics» more  ICMI 2004»
15 years 3 months ago
Bimodal HCI-related affect recognition
Perhaps the most fundamental application of affective computing would be Human-Computer Interaction (HCI) in which the computer is able to detect and track the user’s affective ...
Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nich...
ICPR
2006
IEEE
15 years 10 months ago
Estimating Geospatial Trajectory of a Moving Camera
This paper proposes a novel method for estimating the geospatial trajectory of a moving camera. The proposed method uses a set of reference images with known GPS (global positioni...
Asaad Hakeem, Mubarak Shah, Rita Cucchiara, Robert...
ICIAP
2005
ACM
15 years 9 months ago
Asymmetric 3D/2D Processing: A Novel Approach for Face Recognition
Facial image analysis is very useful in many applications such as video compression, talking heads, or biometrics. During the last few years, many algorithms have been proposed in ...
Daniel Riccio, Jean-Luc Dugelay
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 3 months ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker