An adaptive moving ship detection and tracking based on edge information and morphological operations

Nasim Arshad; Kwang-Seok Moon; Jong-Nam Kim

doi:10.1117/12.913463

30 September 2011 An adaptive moving ship detection and tracking based on edge information and morphological operations

Nasim Arshad, Kwang-Seok Moon, Jong-Nam Kim

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82851X (2011) https://doi.org/10.1117/12.913463
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

Moving ship detection and tracking is the key technology in the intelligence coastal surveillance system. In this paper we present an adaptive and improved 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 include: background information and local position of the ship. We used Morphological "open" operation and frame-subtraction method for background subtraction. The ships are located using the edge information along morphological "thicken", "dilate" and "bridge" operations. The experimental results demonstrate robust and real-time ship detection and tracking over thousands of image frames, and robustness against cluttered background. The detection rate achieved was 98.4%.

Citation Download Citation

Nasim Arshad, Kwang-Seok Moon, and Jong-Nam Kim "An adaptive moving ship detection and tracking based on edge information and morphological operations", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851X (30 September 2011); https://doi.org/10.1117/12.913463

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