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Application of a computer vision technique to animal-borne video data: extraction of head movement to understand sea turtles’ visual assessment of surroundings

机译:计算机视觉技术在动物传播的视频数据中的应用:提取头部运动以了解海龟对周围环境的视觉评估

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Background An animal-borne video recording system has recently been developed to study the behavior of free-ranging animals. In contrast to other types of sensor data (i.e., acceleration), video images offer the advantage of directly acquiring information without analysis. However, most previous findings have only been obtained through visual observation of image data. Here, we demonstrate a new method of data analysis for animal-borne videos using a computer vision technique referred to as template matching. As a case study, we tracked the horizontal head movements of green turtles ( Chelonia mydas ) to investigate how they move their heads to look around the underwater environment.
机译:背景技术近来已经开发了动物传播的视频记录系统以研究自由放养的动物的行为。与其他类型的传感器数据(即加速度)相比,视频图像具有无需分析即可直接获取信息的优势。然而,大多数先前的发现仅通过视觉观察图像数据获得。在这里,我们演示了一种使用计算机视觉技术(称为模板匹配)对动物传播视频进行数据分析的新方法。作为案例研究,我们跟踪了绿海龟(Chelonia mydas)的水平头部运动,以研究它们如何移动其头部以观察水下环境。

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