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IVC
2008
101views more  IVC 2008»
15 years 4 months ago
Occlusion analysis: Learning and utilising depth maps in object tracking
Complex scenes such as underground stations and malls are composed of static occlusion structures such as walls, entrances, columns, turnstiles and barriers. Unless this occlusion...
Darrel Greenhill, John-Paul Renno, James Orwell, G...
MVA
2006
110views Computer Vision» more  MVA 2006»
15 years 4 months ago
Tracking the activity of participants in a meeting
A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which sampl...
Hammadi Nait-Charif, Stephen J. McKenna
ICRA
2010
IEEE
195views Robotics» more  ICRA 2010»
15 years 3 months ago
Cooperative tracking of moving objects and face detection with a dual camera sensor
— This paper describes a sensor for autonomous surveillance capable of continuously monitoring the environment, while acquiring detailed images of specific areas. This is achiev...
Stefano Ghidoni, Alberto Pretto, Emanuele Menegatt...
ICIP
2010
IEEE
15 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
ICASSP
2011
IEEE
14 years 8 months ago
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter
A new method is presented for integration of audio and visual information in multiple target tracking applications. The proposed approach uses a Bayesian filtering formulation an...
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David S...