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» Novel Observation Model for Probabilistic Object Tracking
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ICIP
2010
IEEE
13 years 7 months ago
Real-time interactive multi-target tracking using kernel-based trackers
Although kernel-based methods have been demonstrated effectively in solving single-target tracking problem, facing more complicated multi-target tracking task, most of them still ...
Guorong Li, Wei Qu, Qingming Huang
CVPR
2010
IEEE
13 years 9 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
ICDE
2003
IEEE
143views Database» more  ICDE 2003»
14 years 10 months ago
Querying Imprecise Data in Moving Object Environments
In moving object environments, it is infeasible for the database tracking the movement of objects to store the exact locations of objects at all times. Typically, the location of a...
Reynold Cheng, Sunil Prabhakar, Dmitri V. Kalashni...
JAIR
1998
198views more  JAIR 1998»
13 years 8 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
IROS
2008
IEEE
135views Robotics» more  IROS 2008»
14 years 3 months ago
Probabilistic UHF RFID tag pose estimation with multiple antennas and a multipath RF propagation model
—We present a novel particle filter implementation for estimating the pose of tags in the environment with respect to an RFID-equipped robot. This particle filter combines sign...
Travis Deyle, Charles C. Kemp, Matthew S. Reynolds