Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46787
Title: A fast and accurate tracking approach for automated visual surveillance
Authors: Sánchez-Nielsen, Elena
Hernández Tejera, Mario 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2005
Project: Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
Abstract: Currently, object detection and tracking as well as behavior analysis represent one of the main problems to be solved in automated visual surveillance. In this paper, a fast and accurate computer vision module that can track objects in unrestricted environments is described. The proposed approach is aimed at tracking arbitrary shapes on dynamic changing environments without any assumption on the nature and speed of the objects. The tracker approach exploits shape and motion information through a predicting-matching-updating paradigm. The described approach does not need a priori 2D model of the target object to be tracked.
URI: http://hdl.handle.net/10553/46787
ISBN: 0-7803-9245-0
ISSN: 1071-6572
DOI: 10.1109/CCST.2005.1594873
Source: Proceedings - International Carnahan Conference on Security Technology [ISSN 1071-6572] (1594873)
Appears in Collections:Actas de congresos
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