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» Repairing People Trajectories Based on Point Clustering
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CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 5 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...
KDD
2009
ACM
161views Data Mining» more  KDD 2009»
14 years 6 days ago
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets
We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines c...
Gennady L. Andrienko, Natalia V. Andrienko
SAC
2008
ACM
13 years 4 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...
GEOINFORMATICA
2008
73views more  GEOINFORMATICA 2008»
13 years 5 months ago
Reporting Leaders and Followers among Trajectories of Moving Point Objects
Abstract. Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving...
Mattias Andersson, Joachim Gudmundsson, Patrick La...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
13 years 11 months ago
Clustering Multidimensional Trajectories based on Shape and Velocity
Recently, the analysis of moving objects has become one of the most important technologies to be used in various applications such as GIS, navigation systems, and locationbased in...
Yutaka Yanagisawa, Tetsuji Satoh