Sciweavers

Share
ACIVS
2005
Springer

A Hybrid Color-Based Foreground Object Detection Method for Automated Marine Surveillance

9 years 6 months ago
A Hybrid Color-Based Foreground Object Detection Method for Automated Marine Surveillance
This paper proposes a hybrid foreground object detection method suitable for the marine surveillance applications. Our approach combines an existing foreground object detection method with an image color segmentation technique to improve accuracy. The foreground segmentation method employs a Bayesian decision framework, while the color segmentation part is graph-based and relies on the local variation of edges. We also establish the set of requirements any practical marine surveillance algorithm should fulfill, and show that our method conforms to these. Experiments show good results in the domain of marine surveillance sequences.
Daniel Socek, Dubravko Culibrk, Oge Marques, Hari
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where ACIVS
Authors Daniel Socek, Dubravko Culibrk, Oge Marques, Hari Kalva, Borko Furht
Comments (0)
books