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...
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...
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 ...
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...
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...