loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06)
Generalized Distance Metric as a Robust Similarity Measure for Mobile Object Trajectories
Taichung, Taiwan
June 05-June 07
ISBN: 0-7695-2553-9
Garima Pathak, University Of Missouri-Rolla, Missouri-65401, USA
Spandan Tiwari, University Of Missouri-Rolla, Missouri-65401, USA
Sanjay Madria, University Of Missouri-Rolla, Missouri-65401, USA
In this paper, we propose a novel generalized distance metric based on a model that incorporates the time axis explicitly. The proposed metric is based fundamentally on the Mahalanobis distance metric, which eliminates the correlation and scaling errors in similarity searches on trajectory databases. We propose the incorporation of a weight matrix in the proposed distance metric, which allows for easy manipulation of the degree of significance of the different spatial and or temporal dimensions.
Citation:
Garima Pathak, Spandan Tiwari, Sanjay Madria, "Generalized Distance Metric as a Robust Similarity Measure for Mobile Object Trajectories," sutc, vol. 1, pp.160-167, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.