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ICIP
2007
IEEE
15 years 11 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
15 years 1 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang
CVPR
2007
IEEE
15 years 11 months ago
Spatial selection for attentional visual tracking
Long-duration tracking of general targets is quite challenging for computer vision, because in practice target may undergo large uncertainties in its visual appearance and the unc...
Ming Yang, Junsong Yuan, Ying Wu
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
15 years 10 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 3 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