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FGR
2000
IEEE
141views Biometrics» more  FGR 2000»
14 years 5 days ago
Multiple Cues used in Model-Based Human Motion Capture
Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
Thomas B. Moeslund, Erik Granum
CVIU
2006
222views more  CVIU 2006»
13 years 7 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
MIRAGE
2009
Springer
14 years 2 months ago
Tracking Human Motion with Multiple Cameras Using an Articulated Model
This paper presents a markerless motion capture pipeline based on volumetric reconstruction, skeletonization and articulated ICP with hard constraints. The skeletonization produces...
Davide Moschini, Andrea Fusiello
ECCV
2002
Springer
14 years 9 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
ACIVS
2007
Springer
14 years 1 months ago
Model-Based Image Segmentation for Multi-view Human Gesture Analysis
Multi-camera networks bring in potentials for a variety of vision-based applications through provisioning of rich visual information. In this paper a method of image segmentation f...
Chen Wu, Hamid K. Aghajan