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» Algorithmic Fusion for More Robust Feature Tracking
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92
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JMM2
2006
139views more  JMM2 2006»
14 years 9 months ago
Robust Real-time 3D Detection of Obstructed Head and Hands in Indoors Environments
We address the need for robust detection of obstructed human features in complex environments, with a focus on intelligent surgical UIs. In our setup, real-time detection is used t...
Sébastien Grange, Charles Baur
78
Voted
ECCV
2006
Springer
15 years 11 months ago
Robust Multi-body Motion Tracking Using Commute Time Clustering
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Huaijun Qiu, Edwin R. Hancock
FGR
2000
IEEE
193views Biometrics» more  FGR 2000»
15 years 2 months ago
Robust 3D Head Tracking Under Partial Occlusion
This paper describes a novel system for 3D head tracking under partial occlusion from 2D monocular image sequences. In this system, The Extended Superquadric (ESQ) is used to gene...
Ye Zhang, Chandra Kambhamettu
80
Voted
CSDA
2008
126views more  CSDA 2008»
14 years 9 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
93
Voted
CVPR
2011
IEEE
14 years 5 months ago
Branch and Track
We present a new paradigm for tracking objects in video in the presence of other similar objects. This branch-andtrack paradigm is also useful in the absence of motion, for the di...
Steve Gu, Carlo Tomasi