Unusual Event Analysis for Deep Sea Submersible

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	Unusual Event Analysis for Deep Sea Submersible
	Cong Y(丛杨); Fan HJ(范慧杰); Liu KZ(刘开周); Fan BJ(范保杰)
	2017
会议名称	2017 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2017)
会议日期	August 27-31, 2017
会议地点	Hefei, China
关键词	object tracking deep sea unusual event detection robot vision video analysis
页码	529-534
通讯作者	Cong Y(丛杨)
中文摘要	One of the main task for deep sea submersible is for event / object observation, e.g., new species fish or shrimp, strange topography. In this paper, by concerning deep sea animal motion or any interesting event as unusual event, we propose a new visual framework for unusual deep sea event analysis, which intends to reduce the onboard crew labor and improve the accuracy and efficiency accordingly. In comparison with most state-of-the-arts focus on fish tracking, ours contains much more diverse functions including unusual event detection, tracking and summarization. All these tasks are based on Chinese deep sea submersible, Jiaolong, mounted several video cameras around it. Specifically, for the PTZ camera, our framework can first automatically detect the unusual event by visual saliency, and track the corresponding object with the our previous online learning tracker; moreover, human operator can manually re-initialize it anytime to achieve human-in-loop control. For other stationary camera, we extract the key frames by our video summarization with group sparsity. To justify the efficiency and effectiveness of our proposed visual framework, a new deep sea unusual event dataset is collected from the offline recorded Jiaolong video cameras, and annotated by ourselves for a fair evaluation. Experimental results are reported based on our own dataset, where our method can detect, track and summarize the unusual event properly.
收录类别	CPCI（ISTP）
产权排序	1
会议录	2017 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2017)
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-5386-3260-4
WOS记录号	WOS:000426453700094
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/21339]
专题	沈阳自动化研究所_机器人学研究室
作者单位	1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China, 110016 2.Nanjing University of Posts and Telecommunications, China
推荐引用方式 GB/T 7714	Cong Y,Fan HJ,Liu KZ,et al. Unusual Event Analysis for Deep Sea Submersible[C]. 见:2017 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2017). Hefei, China. August 27-31, 2017.