83 search results - page 3 / 17 » A Probabilistic Exclusion Principle for Tracking Multiple Ob... |
ICCV
2001
IEEE
14 years 8 months ago
2001
IEEE
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
ATAL
2006
Springer
13 years 10 months ago
2006
Springer
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
ISBI
2007
IEEE
14 years 16 days ago
2007
IEEE
Quantitative analysis of dynamical processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. D...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...