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|Title:||Incorporating duration information for trajectory classification|
|Authors:||Patel, D. |
|Citation:||Patel, D., Sheng, C., Hsu, W., Lee, M.L. (2012). Incorporating duration information for trajectory classification. Proceedings - International Conference on Data Engineering : 1132-1143. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2012.72|
|Abstract:||Trajectory classification has many useful applications. Existing works on trajectory classification do not consider the duration information of trajectory. In this paper, we extract duration-aware features from trajectories to build a classifier. Our method utilizes information theory to obtain regions where the trajectories have similar speeds and directions. Further, trajectories are summarized into a network based on the MDL principle that takes into account the duration difference among trajectories of different classes. A graph traversal is performed on this trajectory network to obtain the top-k covering path rules for each trajectory. Based on the discovered regions and top-k path rules, we build a classifier to predict the class labels of new trajectories. Experiment results on real-world datasets show that the proposed duration-aware classifier can obtain higher classification accuracy than the state-of-the-art trajectory classifier. © 2012 IEEE.|
|Source Title:||Proceedings - International Conference on Data Engineering|
|Appears in Collections:||Staff Publications|
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