Sciweavers

Share
FGR
2002
IEEE

An Adaptive Fusion Architecture for Target Tracking

8 years 8 months ago
An Adaptive Fusion Architecture for Target Tracking
A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to maintain multiple hypotheses of the target location. Bayesian probability theory provides the framework for sensor fusion, and resource scheduling is used to intelligently allocate the limited computational resources available across the suite of cues. The system is shown to track a person in 3D space moving in a cluttered environment.
Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Al
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where FGR
Authors Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Alexander Zelinsky
Comments (0)
books