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ICIP
2002
IEEE
16 years 3 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...
IBPRIA
2003
Springer
15 years 6 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 ...
JUCS
2010
265views more  JUCS 2010»
15 years 13 hour ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
CLEF
2003
Springer
15 years 6 months ago
Report on CLEF-2003 Multilingual Tracks
Abstract. For our third participation in the CLEF evaluation campaign, our objective for both multilingual tracks is to propose a new merging strategy that does not require a train...
Jacques Savoy
135
Voted
ICCV
1995
IEEE
15 years 5 months ago
Closed-World Tracking
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
Stephen S. Intille, Aaron F. Bobick