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» Human Body Pose Estimation with Particle Swarm Optimisation
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DAGM
2007
Springer
15 years 3 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
PCM
2004
Springer
168views Multimedia» more  PCM 2004»
15 years 2 months ago
Approximating Inference on Complex Motion Models Using Multi-model Particle Filter
Abstract. Due to its great ability of conquering clutters, which is especially useful for high-dimensional tracking problems, particle filter becomes popular in the visual trackin...
Jianyu Wang, Debin Zhao, Shiguang Shan, Wen Gao
3DIM
2007
IEEE
15 years 3 months ago
Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
In this contribution we introduce the Multiocular Contracting Curve Density algorithm (MOCCD), a novel method for fitting a 3D parametric curve. The MOCCD is integrated into a tr...
Markus Hahn, Lars Krüger, Christian Wöhl...
NIPS
2003
14 years 10 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
AMDO
2008
Springer
14 years 11 months ago
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
Abstract. In this paper we present our work on markerless model-based 3D human motion capture using multiple cameras. We use an industry proven anthropometric human model that was ...
Jan Bandouch, Florian Engstler, Michael Beetz