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Alternative TitleIn-situ autonomous observation method based on hadal fish recognition
陈俊1,2; 张奇峰1; 张艾群1; 蔡笃思
Source Publication吉林大学学报(工学版)
Indexed ByEI ; CSCD
EI Accession number20193607395862
Contribution Rank1
Funding Organization中国科学院战略性先导专项(B 类)(XDB06040100)
Keyword海洋工程与技术 自主观测 支持向量机 鱼类识别 深渊生物 摄像系统
Other AbstractIn-situ observation of hadal fish has been widely implemented for scientific research, usually on serial time or fixed time interval observation mode. However, the observation efficiency is extremely low since pre-programmed method cannot perceive the interested targets in camera view. A novel autonomous observation method combined with computer vision technology is proposed in this paper, where observation strategy could be dynamically adjusted according to the result of fish recognition. Moving targets are rapidly segmented from video frames based on improved background difference method. Invariant moment, eccentricity and roundness characteristics are extracted subsequently, and Fisher discriminant function is used for feature reduction. Fish target prediction model is then established with SPO-SVM algorism. The effectiveness of proposed autonomous observation method is validated through simulation experiment using in-situ observation video data of hadal trench expedition.
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Document Type期刊论文
Corresponding Author张奇峰
Recommended Citation
GB/T 7714
陈俊,张奇峰,张艾群,等. 基于深渊鱼类识别的原位自主观测方法[J]. 吉林大学学报(工学版),2019,49(3):953-962.
APA 陈俊,张奇峰,张艾群,&蔡笃思.(2019).基于深渊鱼类识别的原位自主观测方法.吉林大学学报(工学版),49(3),953-962.
MLA 陈俊,et al."基于深渊鱼类识别的原位自主观测方法".吉林大学学报(工学版) 49.3(2019):953-962.
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