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Panorama construction for PTZ camera surveillance with the neural gas network
Author(s) -
ThurnhoferHemsi Karl,
LópezRubio Ezequiel,
Domínguez Enrique,
LuqueBaena Rafael Marcos,
MolinaCabello Miguel A.
Publication year - 2018
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/exsy.12249
Subject(s) - computer science , delaunay triangulation , artificial intelligence , computer vision , panorama , zoom , artificial neural network , triangulation , interpolation (computer graphics) , image (mathematics) , algorithm , engineering , lens (geology) , geography , cartography , petroleum engineering
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic background model based on the neural gas network and a subsequent piecewise linear interpolation by Delaunay triangulation. Furthermore, an ensemble model of neural gas networks is also proposed. The approach can handle arbitrary camera directions and zooms for a pan‐tilt‐zoom camera‐based surveillance system. After testing the proposed approach on several indoor sequences, the results demonstrate that the proposed methods are effective and suitable to use for real‐time video surveillance applications.