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PutMode: prediction of uncertain trajectories in moving objects

Qiao, Shaojie; Tang, Changjie; Jin, Huidong (Warren); Long, Teng; Dai, Shucheng; Ku, Yungchang; Chau, Michael


Objective: Prediction of moving objects with uncertain motion patterns is emerging rapidly as a new exciting paradigm and is important for law enforcement applications such as criminal tracking analysis. However, existing algorithms for prediction in spatio-temporal databases focus on discovering frequent trajectory patterns from historical data. Moreover, these methods overlook the effect of some important factors, such as speed and moving direction. This lacks generality as moving objects may...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Applied Intelligence
DOI: 10.1007/s10489-009-0173-z


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