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AMDO
2008
Springer
14 years 11 months ago
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. Th...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
CGI
2006
IEEE
15 years 3 months ago
A Video-Driven Approach to Continuous Human Motion Synthesis
We propose a framework to reconstruct human motion based on monocular camera video and motion database. In this framework, we use silhouettes for rough motion estimation based on a...
Rongrong Wang, Xianjie Qiu, Zhaoqi Wang, Shihong X...
87
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SIBGRAPI
2007
IEEE
15 years 3 months ago
A Simple Framework for Natural Animation of Digitized Models
We present a versatile, fast and simple framework to generate animations of scanned human characters from input optical motion capture data. Our method is purely meshbased and req...
Edilson de Aguiar, Rhaleb Zayer, Christian Theobal...
ICPR
2004
IEEE
15 years 10 months ago
Motion Capture Based on Color Error Maps in a Distributed Collaborative Environment
In this paper a composite framework for collaborative working is presented. The framework includes real-time motion tracking based on computer vision from standard webcams situate...
Alberto Del Bimbo, Alessandro Valli, Fabio Pucci, ...
CVPR
2001
IEEE
15 years 11 months ago
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid