Unusual Event Analysis for Deep Sea Submersible
文献类型：会议论文
| 作者 | Cong Y(丛杨) ; Fan HJ(范慧杰); Liu KZ(刘开周); Fan BJ(范保杰)
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| 出版日期 | 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)
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| 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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