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ICRA
2009
IEEE
123views Robotics» more  ICRA 2009»
13 years 11 months ago
Tracking groups of people with a multi-model hypothesis tracker
Abstract— People in densely populated environments typically form groups that split and merge. In this paper we track groups of people so as to reflect this formation process an...
Boris Lau, Kai Oliver Arras, Wolfram Burgard
IJSR
2010
107views more  IJSR 2010»
13 years 3 months ago
Multi-model Hypothesis Group Tracking and Group Size Estimation
Abstract— People in densely populated environments typically form groups that split and merge. In this paper we track groups of people so as to reflect this formation process an...
Boris Lau, Kai Oliver Arras, Wolfram Burgard
ICIP
2010
IEEE
13 years 2 months ago
Collaborative particle filters for group tracking
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Loris Bazzani, Marco Cristani, Vittorio Murino
ECCV
2002
Springer
14 years 6 months ago
Fusion of Multiple Tracking Algorithms for Robust People Tracking
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
Nils T. Siebel, Stephen J. Maybank
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
13 years 10 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard