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Towards a quantitative approach for comparing crowds
Author(s) -
Musse Soraia R.,
Cassol Vinicius J.,
Jung Cláudio R.
Publication year - 2012
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1423
Subject(s) - histogram , crowds , computer science , metric (unit) , orientation (vector space) , position (finance) , artificial intelligence , occupancy , computer vision , histogram matching , pattern recognition (psychology) , image (mathematics) , mathematics , ecology , operations management , geometry , computer security , finance , economics , biology
In this paper, we propose a new model to quantitatively compare global flow characteristics of two crowds. The proposed approach explores a 4‐D histogram that contains information on the local velocity (speed and orientation) of each spatial position, and the comparison is made using histogram distances. The 4‐D histogram also allows the comparison of specific characteristics, such as distribution of orientations only, speed only, relative spatial occupancy only, and combinations of such features. Experimental results indicate that the proposed quantitative metric correlates with visual inspection. Copyright © 2012 John Wiley & Sons, Ltd.