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» A Multiple Hypothesis Approach for a Ball Tracking System
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ICVS
2009
Springer
13 years 11 months ago
A Multiple Hypothesis Approach for a Ball Tracking System
This paper presents a computer vision system for tracking and predicting flying balls in 3-D from a stereo-camera. It pursues a “textbook-style” approach with a robust circle ...
Oliver Birbach, Udo Frese
ACCV
2007
Springer
13 years 10 months ago
Probability Hypothesis Density Approach for Multi-camera Multi-object Tracking
Object tracking with multiple cameras is more efficient than tracking with one camera. In this paper, we propose a multiple-camera multiple-object tracking system that can track 3D...
Nam Trung Pham, Weimin Huang, S. H. Ong
ICPR
2000
IEEE
13 years 9 months ago
Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts
This paper presents a real-time computer vision system that tracks the motion of a tennis ball in 3D using multiple cameras. Ball tracking enables virtual replays, new game statis...
Gopal Sarma Pingali, Agata Opalach, Yves Jean
ISBI
2009
IEEE
13 years 11 months ago
Multiple Hypothesis Tracking in Microscopy Images
Multiple hypothesis tracking (MHT) is a preferred technique for solving the data association problem in modern multiple target tracking systems. However in bioimaging applications...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...
CVPR
1999
IEEE
14 years 6 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