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» Tracking Complex Objects Using Graphical Object Models
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CVPR
2008
IEEE
14 years 11 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
CVPR
2009
IEEE
15 years 4 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...
IEAAIE
1999
Springer
14 years 1 months ago
Modelling Fuzzy Sets Using Object-Oriented Techniques
This paper describes a new approach to model fuzzy sets using object-oriented programming techniques. Currently, the most frequently used method to model fuzzy sets is by using a p...
Gary Yat Chung Wong, Hon Wai Chun
ICIP
2002
IEEE
14 years 10 months ago
Long term tracking using Bayesian networks
This paper addresses long term tracking of multiple objects with occlusions. Bayesian networks are used to model the interaction among the detected tracks and for conflict managem...
Arnaldo J. Abrantes, João Miranda Lemos, Jo...
HUMO
2007
Springer
14 years 3 months ago
Multi Person Tracking Within Crowded Scenes
This paper presents a solution to the problem of tracking people within crowded scenes. The aim is to maintain individual object identity through a crowded scene which contains com...
Andrew Gilbert, Richard Bowden