DoSTra: Discovering common behaviors of objects using the duration of staying on each location of trajectories

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Guo, L, Huang, G, Gao, X, He, Jing, Wu, B and Guo, Haoming (2015) DoSTra: Discovering common behaviors of objects using the duration of staying on each location of trajectories. In: 2015 International Workshop on Trajectory-based Behaviour Analytics (TrBA 2015) in Conjunction with The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), 25 January 2015-25 January 2015, Austin Texas, USA.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/33538
Official URL https://aaai.org/ocs/index.php/WS/AAAIW15/paper/vi...
ISBN 9781577357254
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Keywords semantic trajectories; moving objects; behavior patterns; synthetic data
Citations in Scopus 2 - View on Scopus
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