Paper
7 October 2014 Ship recognition for improved persistent tracking with descriptor localization and compact representations
Author Affiliations +
Abstract
For maritime situational awareness, it is important to identify currently observed ships as earlier encounters. For example, past location and behavior analysis are useful to determine whether a ship is of interest in case of piracy and smuggling. It is beneficial to verify this with cameras at a distance, to avoid the costs of bringing an own asset closer to the ship. The focus of this paper is on ship recognition from electro-optical imagery. The main contribution is an analysis of the effect of using the combination of descriptor localization and compact representations. An evaluation is performed to assess the usefulness in persistent tracking, especially for larger intervals (i.e. re-identification of ships). From the evaluation on recordings of imagery, it is estimated how well the system discriminates between different ships.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sebastiaan P. van den Broek, Henri Bouma, Richard J. M. den Hollander, Henny E. T. Veerman, Koen W. Benoist, and Piet B. W. Schwering "Ship recognition for improved persistent tracking with descriptor localization and compact representations", Proc. SPIE 9249, Electro-Optical and Infrared Systems: Technology and Applications XI, 92490N (7 October 2014); https://doi.org/10.1117/12.2067302
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Cited by 8 scholarly publications.
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KEYWORDS
Infrared imaging

Infrared radiation

Image segmentation

Cameras

Image resolution

Situational awareness sensors

Electro optics

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