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CVPR
2006
IEEE
14 years 1 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
FGR
2006
IEEE
262views Biometrics» more  FGR 2006»
14 years 1 months ago
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color...
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek
CRV
2009
IEEE
217views Robotics» more  CRV 2009»
14 years 2 months ago
Probabilistic 3D Tracking: Rollator Users' Leg Pose from Coronal Images
Understanding the human gait is an important objective towards improving elderly mobility. In turn, gait analyses largely depend on kinematic and dynamic measurements. While the m...
Samantha Ng, Adel H. Fakih, Adam Fourney, Pascal P...
TOG
2012
208views Communications» more  TOG 2012»
11 years 10 months ago
Video-based 3D motion capture through biped control
Marker-less motion capture is a challenging problem, particularly when only monocular video is available. We estimate human motion from monocular video by recovering three-dimensi...
Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, O...
MVA
2008
196views Computer Vision» more  MVA 2008»
13 years 7 months ago
Evaluation of an appearance-based 3D face tracker using dense 3D data
The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a gener...
Fadi Dornaika, Angel Domingo Sappa