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Proceedings Paper

An optical tracker for the maritime environment
Author(s): Asheer K. Bachoo; Francois le Roux; Fred Nicolls
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Paper Abstract

Optical (visual) tracking is an important research area in computer vision with a wide range of useful and critical applications in defence and industry. The tracking of targets that pose a threat or potential threat to a country's assets and resources is a critical component in defence and security. In order to complement radar sensing applications, an optical tracker provides additional functions such as target detection, target identification and intent detection at the visual level. A tracker for the maritime environment is an optical system that performs the automatic tracking of an above water target. Ideally, a track of the target is required for as long as is possible. Some examples of targets include boats, yachts, ships, jet-skis and aircraft. A number of factors mitigate the performance of such a system - change in target appearance, target occlusions, platform vibration and scintillation in the atmosphere are some common examples. We present the implementation of a firstgeneration system that is robust to platform vibration, target appearance changes and short-term occlusions. The optical tracker is developed using a particle filter and an appearance model that is updated online. The system achieves real-time tracking through the use of non-specialized computer hardware. Promising results are presented for a number of real-world videos captured during field trials.

Paper Details

Date Published: 5 May 2011
PDF: 10 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501G (5 May 2011); doi: 10.1117/12.884126
Show Author Affiliations
Asheer K. Bachoo, Council for Scientific and Industrial Research (South Africa)
Univ. of Cape Town (South Africa)
Francois le Roux, Council for Scientific and Industrial Research (South Africa)
Fred Nicolls, Univ. of Cape Town (South Africa)


Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)

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