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ICPR
2002
IEEE
16 years 13 days ago
Tracking Objects Using Recognition
Tracking is frequently considered a frame-to-frame operation. As such, object recognition techniques are generally too slow to be used for tracking. There are domains, however, wh...
Randal C. Nelson, Isaac A. Green
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
15 years 5 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi
ISMAR
2006
IEEE
15 years 5 months ago
Predicting and estimating the accuracy of n-occular optical tracking systems
Marker-based optical tracking systems are widely used in augmented reality, medical navigation and industrial applications. We propose a model for the prediction of the target reg...
Martin Bauer, Michael Schlegel, Daniel Pustka, Nas...
ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
15 years 4 months ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
DAGM
2010
Springer
14 years 11 months ago
Tracking People in Broadcast Sports
Abstract. We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance featur...
Angela Yao, Dominique Uebersax, Juergen Gall, Luc ...