MulGraB 2010, SIP 2010: Signal Processing and Multimedia pp 121-126 | Cite as

Multiple Ship Detection and Tracking Using Background Registration and Morphological Operations

  • Nasim Arshad
  • Kwang-Seok Moon
  • Jong-Nam Kim
Part of the Communications in Computer and Information Science book series (CCIS, volume 123)

Abstract

This paper presents a method to accurately detect and monitor ships within the area of interest. It is an advanced version of the previous works done regarding moving ship detection and tracking. The proposed tracking scheme is based on the characteristics of both sea and ship, which includes: background information and local position of the ship. Background subtraction and registration is achieved using morphological ‘Open’ operation and the ships are located using their edge information. The experimental results demonstrate robust and real-time ship detection and tracking with 98.7% detection rate. The proposed algorithm will be useful in coastal surveillance and monitoring applications.

Keywords

Video Sequence Background Subtraction Ship Tracking Sobel Edge Detection Correct Identification Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Nasim Arshad
    • 1
  • Kwang-Seok Moon
    • 1
  • Jong-Nam Kim
    • 2
  1. 1.Dept. of Electronics EngineeringPukyong National UniversityBusanKorea
  2. 2.Dept. of IT Convergence and Application EngineeringPukyong National UniversityBusanKorea

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