Space Transformation for Understanding Group Movement

Space Transformation for Understanding Group Movement
复制标题

DOI:
10.1109/tvcg.2013.193
复制
发表时间:
2013-12-01
影响因子:
5.2
通讯作者:
Henzi, Peter
Henzi, Peter
中科院分区:
计算机科学1区
文献类型:
--
作者:
Andrienko, Natalia;Andrienko, Gennady;Henzi, Peter

文献摘要

被引文献

相似文献

我们提出了一种方法来分析在一个群体中移动的个人的运动行为。群体运动在两个粒度级别上进行分析:群体作为一个整体和它所包含的个体。为了分析个体相对于群体其他成员的相对位置和运动,我们应用空间变换,其中个体的轨迹从地理空间转换为抽象的“群体空间”。组空间参考系由作为坐标原点的组中心的位置和组的移动方向定义。根据个体在群体空间中的位置,我们可以比较不同个体的行为,确定他们在群体中的角色和/或地位,并可能了解群体运动是如何组织的。该方法的效用已被评估,通过将其应用到一组真实的数据有关的野生社会动物的运动和讨论的结果与专家在动物行为学。
We suggest a methodology for analyzing movement behaviors of individuals moving in a group. Group movement is analyzed at two levels of granularity: the group as a whole and the individuals it comprises. For analyzing the relative positions and movements of the individuals with respect to the rest of the group, we apply space transformation, in which the trajectories of the individuals are converted from geographical space to an abstract "group space". The group space reference system is defined by both the position of the group center, which is taken as the coordinate origin, and the direction of the group's movement. Based on the individuals' positions mapped onto the group space, we can compare the behaviors of different individuals, determine their roles and/or ranks within the groups, and, possibly, understand how group movement is organized. The utility of the methodology has been evaluated by applying it to a set of real data concerning movements of wild social animals and discussing the results with experts in animal ethology.