Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3508
Title: | Background modeling methods for visual detection of maritime targets | Authors: | Kaimakis, Paris Tsapatsoulis, Nicolas |
metadata.dc.contributor.other: | Τσαπατσούλης, Νικόλας | Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Background modeling;Maritime target detection;Event-based systems | Issue Date: | 2013 | Source: | 4th ACM/IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Stream, 2013, Barcelona, Spain, 21 October | 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. | URI: | https://hdl.handle.net/20.500.14279/3508 | DOI: | 10.1145/2510650.2510652 | Rights: | © ACM | Type: | Conference Papers | Affiliation : | Cyprus University of Technology |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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