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2015 IEEE 31st International Conference on Data Engineering (ICDE) (2015)
Seoul, South Korea
April 13, 2015 to April 17, 2015
ISBN: 978-1-4799-7964-6
pp: 999-1010
Sayan Ranu , Dept. of CSE, IIT Madras, Chennai, India
Deepak P , IBM Research, Manyata Tech. Park, Bangalore, India
Aditya D. Telang , IBM Research, Manyata Tech. Park, Bangalore, India
Prasad Deshpande , IBM Research, Manyata Tech. Park, Bangalore, India
Sriram Raghavan , IBM Research, Manyata Tech. Park, Bangalore, India
ABSTRACT
Quantifying the similarity between two trajectories is a fundamental operation in analysis of spatio-temporal databases. While a number of distance functions exist, the recent shift in the dynamics of the trajectory generation procedure violates one of their core assumptions; a consistent and uniform sampling rate. In this paper, we formulate a robust distance function called Edit Distance with Projections (EDwP) to match trajectories under inconsistent and variable sampling rates through dynamic interpolation. This is achieved by deploying the idea of projections that goes beyond matching only the sampled points while aligning trajectories. To enable efficient trajectory retrievals using EDwP, we design an index structure called TrajTree. TrajTree derives its pruning power by employing the unique combination of bounding boxes with Lipschitz embedding. Extensive experiments on real trajectory databases demonstrate EDwP to be up to 5 times more accurate than the state-of-the-art distance functions. Additionally, TrajTree increases the efficiency of trajectory retrievals by up to an order of magnitude over existing techniques.
INDEX TERMS
Trajectory, Robustness, Interpolation, Measurement, Indexing
CITATION
Sayan Ranu, Deepak P, Aditya D. Telang, Prasad Deshpande, Sriram Raghavan, "Indexing and matching trajectories under inconsistent sampling rates", 2015 IEEE 31st International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 999-1010, 2015, doi:10.1109/ICDE.2015.7113351
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