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» Learning to Track with Multiple Observers
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CVPR
2009
IEEE
15 years 2 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
14 years 1 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»
14 years 2 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
14 years 1 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
12 years 11 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