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Markerless 3D motion capture for animal locomotion studies

机译:用于动物运动研究的无标记3D运动捕捉

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Obtaining quantitative data describing the movements of animals is an essential step in understanding their locomotor biology. Outside the laboratory, measuring animal locomotion often relies on video-based approaches and analysis is hampered because of difficulties in calibration and often the limited availability of possible camera positions. It is also usually restricted to two dimensions, which is often an undesirable over-simplification given the essentially three-dimensional nature of many locomotor performances. In this paper we demonstrate a fully three-dimensional approach based on 3D photogrammetric reconstruction using multiple, synchronised video cameras. This approach allows full calibration based on the separation of the individual cameras and will work fully automatically with completely unmarked and undisturbed animals. As such it has the potential to revolutionise work carried out on free-ranging animals in sanctuaries and zoological gardens where ad hoc approaches are essential and access within enclosures often severely restricted. The paper demonstrates the effectiveness of video-based 3D photogrammetry with examples from primates and birds, as well as discussing the current limitations of this technique and illustrating the accuracies that can be obtained. All the software required is open source so this can be a very cost effective approach and provides a methodology of obtaining data in situations where other approaches would be completely ineffective.
机译:获得描述动物运动的定量数据是了解动物运动生物学的重要步骤。在实验室外,测量动物的运动通常依赖于基于视频的方法,并且由于校准困难且可能的摄像头位置通常有限,因此无法进行分析。它通常也限于二维,鉴于许多运动性能的本质是三维性质,这通常是不希望的过度简化。在本文中,我们演示了使用多个同步摄像机基于3D摄影测量重建的完全三维方法。这种方法可以根据各个摄像机的分离情况进行全面校准,并且可以完全自动地对完全无标记和不受干扰的动物进行操作。这样一来,它就有可能彻底改变在庇护所和动物园中放养动物所进行的工作,在这些地方,临时性进路是必不可少的,而封闭区内的通行常常受到严格限制。本文以灵长类和鸟类为例,演示了基于视频的3D摄影测量的有效性,并讨论了该技术的当前局限性并说明了可获得的精度。所需的所有软件都是开源的,因此这可能是一种非常经济高效的方法,并提供了一种在其他方法完全无效的情况下获取数据的方法。

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