Automated camera dysfunctions detection

Author

Harasse, Sebastien ; Bonnaud, Laurent ; Caplier, Alice ; Desvignes, Michel

Author_Institution

LIS, St. Martin d´´Heres, France

fYear

2004

fDate

28-30 March 2004

Firstpage

36

Lastpage

40

Abstract

Surveillance systems depend greatly on the robustness and availability of the video streams. The cameras must deliver reliable streams from an angle corresponding to the correct viewpoint. In other words, the field of view and video quality must remain unchanged after the initial installation of a surveillance camera. The paper proposes an approach to detect changes (such as displacement, out of focus, obstruction) automatically in a difficult environment with illumination variations and dynamic background and foreground objects.

Keywords

feature extraction; optical focusing; surveillance; video signal processing; automated camera dysfunctions detection; change detection; defocusing; displacement; dynamic background objects; dynamic foreground objects; field of view; illumination variations; obstruction; surveillance camera; surveillance systems; video quality; video streams; Cameras; Event detection; Focusing; Image edge detection; Layout; Robustness; Streaming media; Surveillance; Vehicles; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on

Print_ISBN

0-7803-8387-7

Type

conf

DOI

10.1109/IAI.2004.1300940

Filename

1300940