Markerless 3D motion capture for animal locomotion studies.
Markerless 3D motion capture for animal locomotion studies.
复制标题
DOI：
10.1242/bio.20148086
复制
发表时间：
2014-06-27
期刊：
影响因子：
2.4
通讯作者：
Hirasaki E
中科院分区：
文献类型：
--
作者：
Sellers WI;Hirasaki E
获得描述动物运动的定量数据是理解其运动生物学的重要步骤。在实验室之外，测量动物运动通常依赖于基于视频的方法，并且由于校准的困难以及可能的摄像机位置的有限性，分析受到阻碍。它通常也被限制为二维，这通常是一个不可取的过度简化，因为许多运动性能的本质上是三维的。在本文中，我们展示了一个完全三维的方法，使用多个同步摄像机的三维摄影测量重建的基础上。这种方法允许基于单独相机的分离进行完全校准，并且将完全自动地与完全无标记和不受干扰的动物一起工作。因此，它有可能彻底改变在保护区和动物园中对自由放养动物进行的工作，在这些地方，临时方法是必不可少的，并且在围栏内的访问往往受到严格限制。本文以灵长类动物和鸟类为例，展示了基于视频的三维摄影测量的有效性，并讨论了该技术目前的局限性，并说明了可以获得的精度。所需的所有软件都是开源的，因此这可能是一种非常具有成本效益的方法，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。
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.
登录
查看更多内容
DOI：
10.1098/rstb.2007.2064
发表时间：
2007-09-29
影响因子：
6.3
作者：
Sellers, W. I.;Hill, R. A.;Logan, B. S.
通讯作者：
Logan, B. S.
影响因子：
1.9
作者：
Watson, J.;Payne, R.;Sellers, W. I.
通讯作者：
Sellers, W. I.
DOI：
10.1073/pnas.0711437105
发表时间：
2008-01-29
影响因子：
11.1
作者：
Ballerini, M.;Calbibbo, N.;Zdravkovic, V.
通讯作者：
Zdravkovic, V.
影响因子：
2.5
作者：
DAVIS, JM
通讯作者：
DAVIS, JM
影响因子：
2
作者：
HAMILTON, WD
通讯作者：
HAMILTON, WD