DocumentCode
54462
Title
Space Transformation for Understanding Group Movement
Author
Andrienko, Natalia ; Andrienko, Gennady ; Barrett, Louise ; Dostie, Marcus ; Henzi, P.
Volume
19
Issue
12
fYear
2013
fDate
Dec. 2013
Firstpage
2169
Lastpage
2178
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;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2013.193
Filename
6634194
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