首页> 外文会议>International Conference on Computer Analysis of Images and Patterns(CAIP 2005); 20050905-08; Versailles(FR) >Pattern Analysis of Movement Behavior of Medaka (Oryzias latipes): A Decision Tree Approach
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Pattern Analysis of Movement Behavior of Medaka (Oryzias latipes): A Decision Tree Approach

机译:Medaka(Oryzias latipes)运动行为的模式分析:决策树方法

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摘要

The medaka, Oryzias latipes, is a small, egg-laying, freshwater, bony fish which is native to Asian countries. We were continuously investigated behavioral sequences of the medaka through an automatic image recognition system in increasing temperature from 25℃ to 35℃. The observation of behavior through the movement tracking program showed many patterns of the medaka. Behavioral patterns could be divided into basically 5 patterns: 'active-smooth', 'active-shaking', 'inactive-smooth', 'inactive-shaking', and 'not determined'. These patterns were analyzed by 3 features: 'high-speed Ratio', 'FFT to angle transition', and 'product of projections to x-axis and y-axis'. Each pattern was classified using a devised decision tree after the feature choice. The main focus of this study was to determine whether the decision tree could be useful in interpreting and classifying behavior patterns of the medaka.
机译:青(Oryzias latipes)是产于亚洲国家的小型产卵淡水骨鱼。我们通过自动图像识别系统在温度从25℃升高到35℃的过程中不断研究了investigated的行为序列。通过运动跟踪程序观察到的行为显示出了许多高加索模式。行为模式可大致分为5种模式:“主动平稳”,“主动摇动”,“被动平稳”,“被动摇动”和“不确定”。这些模式通过3个特征进行了分析:“高速比率”,“ FFT到角度过渡”和“投影到x轴和y轴的乘积”。在特征选择之后,使用设计好的决策树对每种模式进行分类。这项研究的主要重点是确定决策树是否可用于解释和分类med的行为模式。

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