DocumentCode :
3300386
Title :
Automatic multi-camera placement and optimisation using ray tracing
Author :
Bouyagoub, Samira ; Bull, David R. ; Canagarajah, Nishan ; Nix, Andrew
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
681
Lastpage :
684
Abstract :
An automatic method for rapid and optimised surveillance camera deployment is proposed for outdoor settings. Given a target scene. potential camera locations are generated taking account of real-world camera parameters and environmental constraints. For example, each point on a target must be viewed by at least two cameras. We employ ray tracing to determine the visibility of any point from a given camera and camera-to-point viewing angle is used to measure visibility quality. Gradient ascent is used to optimise camera orientation for maximum quality coverage. Camera network optimisation was also addressed, and a new combinatorial algorithm is proposed. A comparative study showed that our approach significantly outperforms competing techniques providing solutions which better cover the search space, while offering multiple alternative solutions.
Keywords :
ray tracing; video cameras; video surveillance; automatic multi-camera placement; multiple alternative solutions; optimisation; outdoor settings; ray tracing; surveillance camera deployment; Conferences; Decision support systems; Image processing; Camera placement; optimisation; ray tracing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5649559
Filename :
5649559
Link To Document :
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