Flying Target Detection and Recognition by Feature Fusion

Kovács, Levente Attila and Kovács, Andrea and Utasi, Ákos and Szirányi, Tamás (2012) Flying Target Detection and Recognition by Feature Fusion. SPIE Optical Engineering, 51 (11). pp. 117002-1.

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This paper presents a near-realtime visual detection and recognition approach for flying target detection and recognition. Detection is based on fast and robust background modeling and shape extraction, while recognition of target classes is based on shape and texture fused querying on a-priori built real datasets. Main application areas are passive defense and surveillance scenarios.

Item Type: Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: Levente Attila Kovács
Date Deposited: 12 Dec 2012 08:39
Last Modified: 21 Jul 2019 13:58

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