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» People Tracking using Robust Motion Detection and Estimation
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ICPR
2002
IEEE
14 years 10 months ago
Person Identification Using Automatic Height and Stride Estimation
We present a parametric method to automatically identify people in monocular low-resolution video by estimating the height and stride parameters of their gait. Stride parameters (...
Chiraz BenAbdelkader, Ross Cutler, Larry S. Davis
CVIU
2006
256views more  CVIU 2006»
13 years 9 months ago
Human body pose detection using Bayesian spatio-temporal templates
We present a template-based approach to detecting human silhouettes in a specific walking pose. Our templates consist of short sequences of 2D silhouettes obtained from motion cap...
Miodrag Dimitrijevic, Vincent Lepetit, Pascal Fua
IJRR
2007
218views more  IJRR 2007»
13 years 8 months ago
Real-time Hybrid Tracking using Edge and Texture Information
This paper proposes a real-time, robust and effective tracking framework for visual servoing applications. The algorithm is based on the fusion of visual cues and on the estimatio...
Muriel Pressigout, Éric Marchand
ISMAR
2003
IEEE
14 years 2 months ago
Robust Visual Tracking for Non-Instrumented Augmented Reality
This paper presents a robust and flexible framework for augmented reality which does not require instrumenting either the environment or the workpiece. A model-based visual track...
Georg S. W. Klein, Tom Drummond
ECCV
2006
Springer
14 years 10 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath