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首页> 外文期刊>Aquacultural Engineering: An International Journal >Sub-second analysis of fish behavior using a novel computer-vision system
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Sub-second analysis of fish behavior using a novel computer-vision system

机译：使用新型计算机视觉系统对鱼的行为进行亚秒级分析

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This work presents an advanced version of a previous computer vision system that is appropriate for analyzing more complex fish behavioral traits. The system is capable of long-term recording of fish escape and bite behavior in tanks with excellent sampling accuracy and a minimum number of frames lost. In addition, the system is able to simultaneously record from nine different tanks with nine respective cameras, thereby allowing for specific experimental designs for statistical purposes. The evaluation of the system's operation and capabilities is achieved under specific biological activities in laboratory experimental conditions, with the activities duration similar to the system time characteristics. A sub-second analysis resulted in a detailed description of the escape and bite patterns of sea bream and bass in discrete steps, according to the video sequences. In general, the system was found to be able to assist in performing the behavioral studies of farmed fish. The final cost-effective system is characterized by long recording periods of high sampling accuracy, multiple digital camera acquisitions with high image quality, and state-of-the-art consistency. (C) 2014 Elsevier B.V. All rights reserved.
机译：这项工作提出了以前的计算机视觉系统的高级版本，适用于分析更复杂的鱼类行为特征。该系统能够以优异的采样精度和最少的丢帧次数来长期记录鱼缸中鱼的逃逸和叮咬行为。此外，该系统能够使用九个相应的摄像机同时记录来自九个不同坦克的记录，从而允许出于统计目的进行特定的实验设计。在实验室实验条件下，在特定的生物活动下，可以对系统的运行和功能进行评估，活动持续时间与系统时间特征相似。根据视频序列，亚秒级分析得出了鲷鱼和鲈鱼在离散步骤中的逃逸和咬合模式的详细描述。通常，发现该系统能够协助进行养殖鱼类的行为研究。最终的具有成本效益的系统的特点是记录时间长，采样精度高，具有高质量图像的多个数码相机采集以及最先进的一致性。 （C）2014 Elsevier B.V.保留所有权利。

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