Pedestrian detection and tracking in thermal images from aerial MPEG videos

Ichraf Lahouli, Robby Haelterman, Zied Chtourou, Geert De Cubber, Rabah Attia

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

Samenvatting

Video surveillance for security and intelligence purposes has been a precious tool as long as the technology has been available but is computationally heavy. In this paper, we present a fast and efficient framework for pedestrian detection and tracking using thermal images. It is designed for automatic surveillance applications in an outdoor environment like preventing border intrusions or attacks on sensitive facilities using image and video processing techniques implemented on-board Unmanned Aerial Vehicles (UAV)s. The proposed framework exploits raw H.264 compressed video streams with limited computational overhead. Our work is driven by the fact that Motion Vectors (MV) are an integral part of any video compression technique, by day and night capabilities of thermal sensors and the distinguished thermal signature of humans. Six different scenarios were carried out and filmed using a thermal camera in order to simulate suspicious events. The obtained results show the effectiveness of the proposed framework and its low computational requirements which make it adequate for on-board processing and real-time applications.

Originele taal-2Engels
TitelVISAPP
RedacteurenFrancisco Imai, Alain Tremeau, Jose Braz
UitgeverijSciTePress
Pagina's487-495
Aantal pagina's9
ISBN van elektronische versie9789897582905
DOI's
StatusGepubliceerd - 2018
Evenement13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 - Funchal, Madeira, Portugal
Duur: 27 jan. 201829 jan. 2018

Publicatie series

NaamVISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume5

Congres

Congres13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018
Land/RegioPortugal
StadFunchal, Madeira
Periode27/01/1829/01/18

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