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ICCV
2001
IEEE
16 years 8 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
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...
Jamie Sherrah, Shaogang Gong
ICIP
2005
IEEE
16 years 8 months ago
Off-line multiple object tracking using candidate selection and the Viterbi algorithm
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...
Anil C. Kokaram, François Pitié, Roz...
ICPR
2008
IEEE
16 years 8 months ago
Boosting local feature descriptors for automatic objects classification in traffic scene surveillance
We address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intraclass variations and ...
Kaiqi Huang, Min Li, Tieniu Tan, Zhaoxiang Zhang
ICPR
2004
IEEE
16 years 8 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
ICPR
2002
IEEE
16 years 8 months ago
A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects
In thispaper, the problem ofsimultaneousmotionestimation of multiple independently moving objects is addressed. A novel Bayesian approach is designedfor solvingthisproblem using t...
Gang Qian, Rama Chellappa, Qinfen Zheng