Panorama construction for PTZ camera surveillance with the neural gas network

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 l...

Full description

Saved in:
Bibliographic Details
Published in:Expert systems 2018-04, Vol.35 (2), p.n/a
Main Authors: Thurnhofer‐Hemsi, Karl, López‐Rubio, Ezequiel, Domínguez, Enrique, Luque‐Baena, Rafael Marcos, Molina‐Cabello, Miguel A.
Format: Article
Language:English
Subjects:
background modeling
Cameras
Delaunay triangulation
Digital video
neural gas network
panorama construction
PTZ cameras
Security systems
Sequences
Surveillance
Surveillance systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0266-4720
1468-0394
DOI:10.1111/exsy.12249