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http://dx.doi.org/10.9717/kmms.2019.22.10.1178

Analysis of Drone Target Search Performance According to Environment Change  

Lim, Jong-Bin (Dept. of Computer Engineering, Kyungil University)
Ha, Il-Kyu (Dept. of Computer Engineering, Kyungil University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.10, 2019 , pp. 1178-1186 More about this Journal
Abstract
In recent years, interest in drones has grown, and many countries are developing them into a strategic industry of the future. Drones are not only used in industries such as logistics and agriculture but also in various public sectors such as life rescue, disaster investigation, traffic control, and firefighting. One of the most important tasks of a drone is to accurately identify targets in these applications. Target recognition may vary depending on the search environment of the drone. Therefore, this study tests and analyzes the drone's target recognition performance according to changes in the search environment such as the search altitude and the search angle. In addition, we propose a new algorithm that improves upon the disadvantages of the Haar cascade method, which is the existing algorithm that recognizes the target by analyzing a captured image.
Keywords
Drone Altitude; Drone Search; Target Detection; Unmanned Aerial Vehicles;
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Times Cited By KSCI : 2  (Citation Analysis)
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