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ICCV
2007
IEEE
13 years 7 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
TROB
2002
151views more  TROB 2002»
13 years 5 months ago
Cooperative probabilistic state estimation for vision-based autonomous mobile robots
Abstract--With the services that autonomous robots are to provide becoming more demanding, the states that the robots have to estimate become more complex. In this article, we deve...
Thorsten Schmitt, Robert Hanek, Michael Beetz, Seb...
ICIP
2003
IEEE
14 years 7 months ago
An optical flow probabilistic observation model for tracking
In this paper, we define an observation model based on optical flow information to track objects using particle filter algorithms. Although the optical flow information enables us...
Antonio Garrido Carrillo, José M. Fuertes, ...
AMDO
2008
Springer
13 years 8 months ago
Apperance-Based Tracking and Face Identification in Video Sequences
We present a technique for face recognition in videos. We are able to recognise a face in a video sequence, given a single gallery image. By assuming that the face is in an approxi...
José Miguel Buenaposada, Juan Bekios, Luis ...
IBPRIA
2003
Springer
13 years 11 months ago
Probabilistic Observation Models for Tracking Based on Optical Flow
In this paper, we present two new observation models based on optical flow information to track objects using particle filter algorithms. Although optical flow information enabl...
Manuel J. Lucena, José M. Fuertes, Nicolas ...