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» Map-Based Multiple Model Tracking of a Moving Object
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ICCS
2007
Springer
15 years 7 months ago
Dynamically Identifying and Tracking Contaminants in Water Bodies
We present an overview of an ongoing project to build a DDDAS for identifying and tracking chemicals in water. The project involves a new class of intelligent sensor, building a li...
Craig C. Douglas, Martin J. Cole, Paul Dostert, Ya...
ICCV
2007
IEEE
15 years 3 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
JRTIP
2007
112views more  JRTIP 2007»
15 years 1 months ago
Robust real-time tracking by fusing measurements from inertial and vision sensors
Abstract The problem of estimating and predicting position and orientation (pose) of a camera is approached by fusing measurements from inertial sensors (accelerometers and rate gy...
Jeroen D. Hol, Thomas B. Schön, Henk Luinge, ...
ICPR
2002
IEEE
16 years 2 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
CG
1999
Springer
15 years 29 days ago
Occlusion in collaborative augmented environments
Augmented environments superimpose computer enhancements on the real world. Such augmented environments are well suited for collaboration of multiple users. To improve the quality...
Anton L. Fuhrmann, Gerd Hesina, François Fa...