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DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
13 years 11 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
13 years 10 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
ICPR
2006
IEEE
14 years 5 months ago
A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering
High-level semantic understanding of vehicle motion behaviors is often based on vehicle motion trajectory clustering. In this paper, we propose an effective trajectory clustering ...
Wei Hu, Weiming Hu, Xi Li
ICPR
2008
IEEE
13 years 11 months ago
Incremental trajectory aggregation in video sequences
This article introduces new similarity measures between trajectories, in order to detect uncommon behaviors. These measures are used to find the most common trajectories in a seq...
Ionel Pop, Mihaela Scuturici, Serge Miguet
PRL
2006
207views more  PRL 2006»
13 years 4 months ago
On-line trajectory clustering for anomalous events detection
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
Claudio Piciarelli, Gian Luca Foresti