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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 9 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ICPR
2008
IEEE
14 years 2 months ago
Hierarchical estimation for adaptive visual tracking
In this paper, we propose a novel approach which integrates adaptive appearance model and hierarchical estimation mechanism composed of global estimation and local estimation. Hie...
Seok Min Yun, Jin Hee Na, Woo-Sung Kang, Jin Young...
CVPR
2011
IEEE
13 years 3 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
CAIP
2007
Springer
152views Image Analysis» more  CAIP 2007»
14 years 2 months ago
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques
Abstract. In this paper we present a novel analysis-by-synthesis approach for real-time camera tracking in industrial scenarios. The camera pose estimation is based on the tracking...
Harald Wuest, Folker Wientapper, Didier Stricker
ICMCS
2005
IEEE
194views Multimedia» more  ICMCS 2005»
14 years 1 months ago
An hardware architecture for 3D object tracking and motion estimation
We present a method to track and estimate the motion of a 3D object with a monocular image sequence. The problem is based on the state equations and is solved by a sequential Mont...
Patrick Lanvin, Jean-Charles Noyer, Mohammed Benje...