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Algortihm for Daphnia Motion Detection in Toxicological Studies

机译:毒理学研究中水蚤运动检测算法

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Nowadays, there exist a growing concern regarding the pollution of our planet. Diverse works have been developed in the aquatic environments because of the importance of water for the human life. One way to make a toxicological study of water is through bio-sensors, like the Daphnia, a crustacean sensible to a large variety of substances. Behavior changes of the Daphnia can be related to toxic substance in the water. This work presents the design of an algorithm to detect Daphnia motion. The objective of their algorithm is to provide information such that motion features computation can be performed in a posterior analysis. The proposed algorithm achieved a 96.2% in the FScore metric evaluating 150 samples of 5 videos of one minute each.
机译:如今,人们对我们星球的污染越来越关注。由于水对人类生命的重要性,因此在水生环境中开展了各种各样的工作。对水进行毒理学研究的一种方法是通过生物传感器,例如水蚤,一种对多种物质敏感的甲壳类动物。水蚤的行为变化可能与水中的有毒物质有关。这项工作提出了一种检测水蚤运动的算法的设计。他们算法的目的是提供信息,以便可以在后验分析中执行运动特征计算。所提出的算法在FScore指标中达到96.2%,评估了5个视频的150个样本,每个样本一分钟。

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