@inproceedings{03820dd9b2a94ac7922973ebfcaff9bf,
title = "TrajAlign: A method for precise matching of 3-D trajectories",
abstract = "Matching two 3-D trajectories is an important task in a number of applications. The trajectory matching problem can be solved by aligning the two trajectories and taking the alignment score as their similarity measurement. In this paper, we propose a new method called {"}TrajAlign{"} (Trajectory Alignment). It aligns two trajectories by means of aligning their representative distance matrices. Experimental results show that our method is significantly more precise than the existing state-of-the-art methods. While the existing methods can provide correct answers in only up to 67% of the test cases, TrajAlign can offer correct results in 79% (i.e. 12% more) of the test cases, TrajAlign is also computationally inexpensive, and can be used practically for applications that demand efficiency.",
keywords = "3-D trajectory matching, AUSLAN dataset, Distance matrix, Trajectory alignment",
author = "Zeyar Aung and Kelvin Sim and Ng, {Wee Siong}",
year = "2010",
doi = "10.1109/ICPR.2010.930",
language = "British English",
isbn = "9780769541099",
series = "Proceedings - International Conference on Pattern Recognition",
pages = "3818--3821",
booktitle = "Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010",
note = "2010 20th International Conference on Pattern Recognition, ICPR 2010 ; Conference date: 23-08-2010 Through 26-08-2010",
}