Title :
Space Transformation for Understanding Group Movement
Author :
Andrienko, Natalia ; Andrienko, Gennady ; Barrett, Louise ; Dostie, Marcus ; Henzi, P.
Abstract :
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.
Keywords :
behavioural sciences computing; computer graphics; zoology; abstract group space; animal ethology; geographical space; granularity level; group center position; group movement behaviors; group space reference system; individual position; individuals movement; space transformation; visual analytics; wild social animals; Behavioral science; Data models; Market research; Trajectory; Visual analytics; Behavioral science; Data models; Market research; Trajectory; Visual analytics; collective movement; movement data; Animals; Computer Graphics; Crowding; Humans; Models, Statistical; Movement; Pattern Recognition, Automated; Population Surveillance; Spatio-Temporal Analysis; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2013.193