Abstract
An Aerial video summarization is not only the key to effective browsing video within a limited time, but also an embedded cue to efficiently congregative situation awareness acquired by unmanned aerial vehicle. Different with previous works, we utilize sensor operation mode of unmanned aerial vehicle, which is global, local, and focused surveillance mode in order for accurately summarizing the aerial video considering flight and surveillance/reconnaissance environments. In focused mode, we propose the moving-react tracking method which utilizes the partitioning motion vector and spatiotemporal saliency ∙제1저자 : 이준표 ∙교신저자 : 이준표 ∙투고일 : 2015. 1. 7, 심사일 : 2015. 2. 7, 게재확정일 : 2015. 5. 19. * 서울예술대학교 영상학부(School of Film and Media Arts, Seoul Institute of the Arts) ※ 본 논문은 2015년도 서울예술대학교 교내 연구비 지원에 의해 연구되었음. 88 Journal of The Korea Society of Computer and Information June 2015 map to detect and track the interest moving object continuously. In our simulation result, the key frames are correctly detected for aerial video summarization according to the sensor operation mode of aerial vehicle and finally, we verify the efficiency of video summarization using the proposed mothed. ▸
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