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» Tracking Discontinuous Motion Using Bayesian Inference
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FGR
2004
IEEE
129views Biometrics» more  FGR 2004»
15 years 1 months ago
Multiple Frame Motion Inference Using Belief Propagation
We present an algorithm for automatic inference of human upper body motion. A graph model is proposed for inferring human motion, and motion inference is posed as a mapping proble...
Jiang Gao, Jianbo Shi
HRI
2006
ACM
15 years 3 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
NECO
2002
117views more  NECO 2002»
14 years 9 months ago
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
Many perception, reasoning, and learning problems can be expressed as Bayesian inference. We point out that formulating a problem as Bayesian inference implies specifying a probabi...
James M. Coughlan, Alan L. Yuille
104
Voted
ICPR
2002
IEEE
15 years 2 months ago
3D Tracking of Human Locomotion: A Tracking as Recognition Approach
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...
Tao Zhao, Ramakant Nevatia
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
15 years 3 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...