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논문 기본 정보

자료유형
학술저널
저자정보
(Kyungil University) (Kyungil University)
저널정보
한국멀티미디어학회 멀티미디어학회논문지 멀티미디어학회논문지 제22권 제10호
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1,178 - 1,186 (9page)

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초록· 키워드

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.
#Drone Altitude #Drone Search #Target Detection #Unmanned Aerial Vehicles
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목차

  1. ABSTRACT
  2. 1. INTRODUCTION
  3. 2. RELATED WORKS
  4. 3. TARGET SEARCH PERFORMANCE ACCORDING TO ENVIRONMENTAL CHANGE
  5. 4. EXPERIMENTS AND RESULTS FOR TARGET SEARCH PERFORMANCE
  6. 5. CONCLUSION
  7. REFERENCE

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UCI(KEPA) : I410-ECN-0101-2020-004-000114070