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Discovering Chasing Behavior in Moving Object Trajectories
Author(s) -
de Lucca Siqueira Fernando,
Bogorny Vania
Publication year - 2011
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/j.1467-9671.2011.01285.x
Subject(s) - trajectory , object (grammar) , computer science , movement (music) , artificial intelligence , behavioral pattern , data mining , computer vision , pattern recognition (psychology) , geography , philosophy , physics , software engineering , astronomy , aesthetics
With the increasing use of mobile devices, a lot of tracks of movement of objects are being collected. The advanced trajectory data mining research has allowed the discovery of many types of patterns from these data, like flocks, leadership, avoidance, frequent sequences, and other types of patterns. In this article we introduce a new kind of pattern: a chasing behavior between trajectories. We present the main characteristics of chasing and propose a new method that extracts this new kind of trajectory behavior pattern, considering time, distance, and speed as the main thresholds. Experimental results show that our method finds patterns that are not discovered by related approaches.