Background modeling methods for visual detection of maritime targets

Authors:
Paris Kaimakis;Nicolas Tsapatsoulis
Affiliations:
Cyprus University of Technology, Limassol, Cyprus;Cyprus University of Technology, Limassol, Cyprus
Venue:
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Year:
2013

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Abstract

We propose a system for real-time detection of maritime targets based on monocular video data. In the absence of a priori knowledge about their appearance, targets are detected implicitly via the statistical modeling of the scene's nonstationary background. A probabilistic treatment regarding target compactness is also presented. The proposed system currently acts as a stand-alone maritime surveillance application, and may also be used as an early detection stage within a larger maritime target tracking framework.