Presentation + Paper
9 October 2019 Vessel track summarization by viewpoint selection
Author Affiliations +
Abstract
For military operations, the availability of high-quality imaging information from Electro-Optical / Infrared (EO/IR) sensors is of vital importance. This information can be used for timely detection and identification of threatening vessels in an environment with a large amount of neutral vessels. EO/IR sensors provide imagery of all vessels at different moments in time. It is challenging to interpret the images of the different vessels within a larger region of interest. It is therefore helpful to automatically detect and track vessels, and save the detections of the vessels, called snapshots, for identification purposes.

Of all available snapshots, only the best and most representative snapshots should be selected for the operator. In this paper, we present two different approaches for snapshot selection from a vessel track. The first is based on directional track information, and the second on the snapshot appearance. We present results for both these methods on IR recordings, containing vessels with different track patterns in a harbor scenario.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard J. M. den Hollander, Nanda van der Stap, Mike Wilmer, and Judith Dijk "Vessel track summarization by viewpoint selection", Proc. SPIE 11159, Electro-Optical and Infrared Systems: Technology and Applications XVI, 111590U (9 October 2019); https://doi.org/10.1117/12.2535679
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KEYWORDS
Detection and tracking algorithms

Automatic tracking

Cameras

Visualization

Sensors

3D modeling

Electro optical imaging

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