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» An Oscillatory Neural Model of Multiple Object Tracking
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ICPR
2000
IEEE
14 years 2 days ago
Incremental Observable-Area Modeling for Cooperative Tracking
In this paper, we propose an observable-area model of the scene for real-time cooperative object tracking by multiple cameras. The knowledge of partners’ abilities is necessary ...
Norimichi Ukita, Takashi Matsuyama
ICIP
2002
IEEE
14 years 9 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...
TSP
2008
178views more  TSP 2008»
13 years 7 months ago
Extended Object Tracking Using Monte Carlo Methods
Abstract-- This paper addresses the problem of tracking extended objects, such as ships or a convoy of vehicles moving in urban environment. Two Monte Carlo techniques for extended...
Donka S. Angelova, Lyudmila Mihaylova
CVIU
2007
174views more  CVIU 2007»
13 years 7 months ago
Laser-based detection and tracking of multiple people in crowds
Laser-based people tracking systems have been developed for mobile robotic, and intelligent surveillance areas. Existing systems rely on laser point clustering method to extract o...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
ICPR
2002
IEEE
14 years 18 days ago
Real-Time Cooperative Multi-Target Tracking by Communicating Active Vision Agents
Abstract Target detection and tracking is one of the most important and fundamental technologies to develop real world computer vision systems such as security and traffic monitori...
Norimichi Ukita, Takashi Matsuyama