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CVPR
2005
IEEE
15 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
CVPR
2008
IEEE
15 years 11 months ago
Simultaneous clustering and tracking unknown number of objects
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects...
Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda
ICRA
2008
IEEE
131views Robotics» more  ICRA 2008»
15 years 4 months ago
Person tracking on a mobile robot with heterogeneous inter-characteristic feedback
— For a mobile robot that interacts with humans such as a home assistant or a tour guide robot, tracking a particular person among multiple persons is a fundamental, yet challeng...
Juhyun Lee, Peter Stone
82
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ICPR
2004
IEEE
15 years 10 months ago
Switching Particle Filters for Efficient Real-time Visual Tracking
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Kenji Doya, Shin Ishii, Takashi Bando, Tomohiro Sh...
ICCV
2009
IEEE
16 years 2 months ago
Keyframe-Based Real-Time Camera Tracking
We present a novel keyframe selection and recognition method for robust markerless real-time camera tracking. Our system contains an ofine module to select features from a grou...
Zilong Dong, Guofeng Zhang, Jiaya Jia, Hujun Bao