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ECCV
2000
Springer
14 years 8 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ICIP
2006
IEEE
14 years 8 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
PAMI
2010
238views more  PAMI 2010»
13 years 5 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
CLEAR
2006
Springer
199views Biometrics» more  CLEAR 2006»
13 years 10 months ago
Head Pose Tracking and Focus of Attention Recognition Algorithms in Meeting Rooms
Abstract. The paper presents an evaluation of both head pose and visual focus of attention (VFOA) estimation algorithms in a meeting room environment. Head orientation is estimated...
Sileye O. Ba, Jean-Marc Odobez
FGR
2008
IEEE
135views Biometrics» more  FGR 2008»
14 years 1 months ago
Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation
Accurately estimating the person’s head position and orientation is an important task for a wide range of applications such as driver awareness and human-robot interaction. Over...
Louis-Philippe Morency, Jacob Whitehill, Javier R....