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ICIP
2005
IEEE
16 years 1 months ago
Silhouette-based probabilistic 2D human motion estimation for real-time applications
This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user’s five crucial human features (head, hands and feet) are ext...
Pedro Correa, Jacek Czyz, Toshiyuki Umeda, Ferran ...
235
Voted
ECCV
2000
Springer
16 years 9 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...
ICPR
2008
IEEE
16 years 8 months ago
Geometric constraints on 2D action models for tracking human body
We propose a 2D model-based approach for tracking human body parts during articulated motion. A human is modeled as a stick figure with thirteen landmarks, and an action is a sequ...
Alexei Gritai, Arslan Basharat, Mubarak Shah
ICPR
2006
IEEE
16 years 8 months ago
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition
An intelligent robot is required for natural interaction with humans. Visual interpretation of gestures can be useful in accomplishing natural Human-Robot Interaction (HRI). Previ...
A-Yeon Park, Hee-Deok Yang, Seong-Whan Lee
211
Voted
ACCV
2006
Springer
16 years 1 months ago
A Local Basis Representation for Estimating Human Pose from Cluttered Images
Recovering the pose of a person from single images is a challenging problem. This paper discusses a bottom-up approach that uses local image features to estimate human upper body p...
Ankur Agarwal, Bill Triggs