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ECCV
2002
Springer
16 years 8 months ago
Estimating Human Body Configurations Using Shape Context Matching
The problem we consider in this paper is to take a single two-dimensional image containing a human body, locate the joint positions, and use these to estimate the body configurati...
Greg Mori, Jitendra Malik
ICPR
2000
IEEE
16 years 7 months ago
Estimation of the Location of Joint Points of Human Body from Successive Volume Data
Recognizing structure of human body is important for modeling human motion. Human body is usually represented as an articulate model, which consists of the rigid parts and the joi...
Masaaki Iiyama, Yoshinari Kameda, Michihiko Minoh
139
Voted
CHI
2001
ACM
16 years 7 months ago
On the road and on the Web?: comprehension of synthetic and human speech while driving
In this study 24 participants drove a simulator while listening to three types of messages in both synthesized speech and recorded human speech. The messages consisted of short na...
Jennifer Lai, Karen Cheng, Paul Green, Omer Tsimho...
KCAP
2009
ACM
16 years 1 months ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
16 years 1 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic