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A UAV vision system for airborne surveillance

M. Kontitsis , Tsourveloudis Nikolaos, V.Valavanis

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URI: http://purl.tuc.gr/dl/dias/40120D5F-3698-46AC-ADA8-C6C3AE6BA82A
Year 2004
Type of Item Conference Full Paper
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Bibliographic Citation Kontitsis, M., Tsourveloudis, N., and Valavanis, V. , 'A UAV Vision System for Airborne Surveillance', In 2004 IEEE Int. Conf. on Robotics and Aut.(ICRA), pp. 78-83.doi : 10.1109/ROBOT.2004.1307132 https://doi.org/ 10.1109/ROBOT.2004.1307132
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Summary

The paper presents a machine vision system for aerial surveillance that can interpret and process data acquired by a UAV on-board infrared camera. System components include noise reduction, feature extraction, classification and decision-making. Decision-making is performed in terms of an alarm signal. The system has been configured for automatic fire detection applications where the alarm is set off in case of fire identification. Real time tests have been performed and the system has been tested producing sets of real images. Finally, a genetic algorithm was used to automatically define some of the system's parameters.

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