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» Hybrid state estimation: a target tracking application
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ICCV
2001
IEEE
14 years 6 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
DCOSS
2010
Springer
13 years 9 months ago
A Novel Mobility Management Scheme for Target Tracking in Cluster-Based Sensor Networks
Abstract. Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking ...
Zhibo Wang, Wei Lou, Zhi Wang, Junchao Ma, Honglon...
CVPR
2005
IEEE
14 years 6 months ago
Multitarget Tracking with Split and Merged Measurements
In many multitarget tracking applications in computer vision, a detection algorithm provides locations of potential targets. Subsequently, the measurements are associated with pre...
Zia Khan, Tucker R. Balch, Frank Dellaert
ICIA
2007
13 years 6 months ago
Intent Recognition for Human-Robot Interaction
Effective human-robot cooperation requires robotic devices that understand human goals and intentions. We frame the problem of intent recognition as one of tracking and predicting...
Andreas G. Hofmann, Brian C. Williams
ICASSP
2011
IEEE
12 years 8 months ago
Generalizations of Blom And Bloem's PDF decomposition for permutation-invariant estimation
Minimum mean squared error estimates generally are not optimal in terms of a common track error statistic used in tracking benchmarks, namely a form of the Mean Optimal Subpattern...
David Frederic Crouse, Peter Willett, Yaakov Bar-S...