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ICPR
2004
IEEE
14 years 10 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
ISMAR
2006
IEEE
14 years 2 months ago
Online camera pose estimation in partially known and dynamic scenes
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on of...
Gabriele Bleser, Harald Wuest, Didier Stricker
ICCV
2001
IEEE
14 years 10 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
CVPR
2009
IEEE
15 years 4 months ago
Actions in context
This paper exploits the context of natural dynamic scenes for human action recognition in video. Human actions are frequently constrained by the purpose and the physical propert...
Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cor...
CVPR
2011
IEEE
13 years 4 months ago
Multiobject Tracking as Maximum Weight Independent Set
This paper addresses the problem of simultaneous tracking of multiple targets in a video. We first apply object detectors to every video frame. Pairs of detection responses from ...
William Brendel, Mohamed Amer, Sinisa Todorovic