지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.10
- 수록면
- 179 - 184 (6page)
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초록· 키워드
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In this paper we present behavior recognition algorithms using images captured by a small UAV (unmanned aerial vehicle). Small UAVs provide a mobile platform capable of monitoring a large area, but each UAV has a limited field of view, resulting in very brief observations of targets of interest as UAVs fly over them. Standard behavior recognition algorithms are designed for CCTV networks, where cameras have a fixed view of the target area. To apply these algorithms to imagery from small UAVs, we first geo-locate targets based on their image coordinates and correspondences between geo-located landmarks and landmarks in each video frame. We then apply behavior recognition algorithms that are suited to very short observation periods. We test these algorithms in a simulation environment incorporating realistic target motion and validate the entire approach on imagery captured by a small UAV. These experiments illustrate that automatic behavior recognition has merit even during brief fly-overs, typical of a small UAV on surveillance patrol.
목차
Abstract
1. INTRODUCTION
2. PRIORWORK
3. ALGORITHMS FOR DETECTING INTENT-TO-ENTER
4. COMBINING INTENT-TO-ENTER FROM MULTIPLE ALGORITHMS
5. SIMULATIONS
6. EXPERIMENTS
7. CONCLUSIONS & FUTUREWORK
REFERENCES
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