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» Tracking Discontinuous Motion Using Bayesian Inference
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CVPR
2005
IEEE
15 years 11 months ago
Appearance-Guided Particle Filtering for Articulated Hand Tracking
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung
84
Voted
ICIP
2005
IEEE
15 years 11 months ago
Optimizing of searching co-motion point-pairs for statistical camera calibration
In the paper we introduce an algorithm for matching partially overlapping image-pairs where the object of interest is in motion, even if the motion is discontinuous and in an unstr...
Csaba Benedek, Laszlo Havasi, Tamás Szir&aa...
105
Voted
ICCV
2001
IEEE
15 years 11 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
87
Voted
TCSV
2010
14 years 4 months ago
Object Tracking in Structured Environments for Video Surveillance Applications
Abstract--We present a novel tracking method for effectively tracking objects in structured environments. The tracking method finds applications in security surveillance, traffic m...
Junda Zhu, Yuanwei Lao, Yuan F. Zheng
98
Voted
ICCV
2003
IEEE
15 years 2 months ago
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion ...
Hanning Zhou, Thomas S. Huang