Panorama construction for PTZ camera surveillance with the neural gas network. Issue 2 (12th December 2017)

• Record Type: Journal Article
• Authors: Thurnhofer‐Hemsi, Karl; López‐Rubio, Ezequiel; Domínguez, Enrique; Luque‐Baena, Rafael Marcos; Molina‐Cabello, Miguel A.
• Other Names: GarcÍa‐RodrÍguez José guestEditor.; Escalera Sergio guestEditor.; Psarrou Alexandra guestEditor.; Guyon Isabelle guestEditor.; Lewis Andrew guestEditor.; Leitner Juxi guestEditor.
• Is Part Of: Expert systems. Volume 35:Issue 2(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-12-12
• Subjects: background modeling -- PTZ cameras -- panorama construction -- neural gas network; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12249
• Languages: English
• ISSNs: 0266-4720

Abstract

Abstract: 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.