Generalized Distance Metric as a Robust Similarity Measure for Mobile Object Trajectories

Garima Pathak; Sanjay Kumar Madria; Spandan Tiwari

doi:10.1109/SUTC.2006.1636172

Generalized Distance Metric as a Robust Similarity Measure for Mobile Object Trajectories

Garima Pathak
, Sanjay Kumar Madria
, Spandan Tiwari

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	American English
Journal	Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06)
DOIs	https://doi.org/10.1109/SUTC.2006.1636172
State	Published - Jan 1 2006

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Computer Sciences

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title = "Generalized Distance Metric as a Robust Similarity Measure for Mobile Object Trajectories",

abstract = " 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.",

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M3 - Article

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JF - Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06)

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Generalized Distance Metric as a Robust Similarity Measure for Mobile Object Trajectories

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