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» Learning to Track with Multiple Observers
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CVPR
2009
IEEE
16 years 11 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
ACCV
2006
Springer
15 years 9 months ago
Tracking Targets Via Particle Based Belief Propagation
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
ICRA
2007
IEEE
214views Robotics» more  ICRA 2007»
15 years 10 months ago
Triangulation Based Multi Target Tracking with Mobile Sensor Networks
Abstract— We study the problem of designing motionplanning and sensor assignment strategies for tracking multiple targets with a mobile sensor network. We focus on triangulation ...
Seema Kamath, Eric Meisner, Volkan Isler
IAT
2005
IEEE
15 years 9 months ago
Real-time Cooperative Multi-target Tracking by Dense Communication among Active Vision Agents
We have proposed a real-time multi-target tracking system by cooperative behaviors of Active Vision Agents (AVAs), where an AVA is a logical model of a networkconnected computer w...
Norimichi Ukita
CVPR
2011
IEEE
14 years 7 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid