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» Modeling and Learning Contact Dynamics in Human Motion
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CVPR
2003
IEEE
14 years 10 months ago
Finding and Tracking People from the Bottom Up
We describe a tracker that can track moving people in long sequences without manual initialization. Moving people are modeled with the assumption that, while configuration can var...
Deva Ramanan, David A. Forsyth
NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
IBPRIA
2007
Springer
13 years 11 months ago
On-Line Classification of Human Activities
In this paper we address the problem of on-line recognition of human activities taking place in a public area such as a shopping center. We consider standard activities; namely, en...
Jacinto C. Nascimento, Mário A. T. Figueire...
ISWC
2005
IEEE
14 years 1 months ago
Modeling a Wearable Full-body Motion Capture System
Abstract— This paper describes a feasibility study for a selfcontained, wearable full-body motion capture system based on time-of-flight measurements that provide absolute dista...
Christopher Einsmann, Meghan Quirk, Ben Muzal, Bha...
ICML
2004
IEEE
14 years 8 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson