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PRIS
2001
13 years 10 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques
INFOCOM
2010
IEEE
13 years 7 months ago
SparseTrack: Enhancing Indoor Pedestrian Tracking with Sparse Infrastructure Support
Abstract—Accurate indoor pedestrian tracking has wide applications in the healthcare, retail, and entertainment industries. However, existing approaches to indoor tracking have v...
Yunye Jin, Mehul Motani, Wee-Seng Soh, Juanjuan Zh...
CVPR
1999
IEEE
14 years 11 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
ICPR
2004
IEEE
14 years 10 months ago
Evaluation of Three Optical Flow-Based Observation Models for Tracking
In this paper, we study the use of optical flow as a characteristic for tracking. We analyze the behavior of three flowbased observation models for particle filter algorithms, and...
José M. Fuertes, Manuel J. Lucena, Nicolas ...
CVPR
2011
IEEE
13 years 22 days ago
Probabilistic Gaze Estimation Without Active Personal Calibration
Existing eye gaze tracking systems typically require an explicit personal calibration process in order to estimate certain person-specific eye parameters. For natural human compu...
Jixu Chen, Qiang Ji