DoSTra: Discovering common behaviors of objects using the duration of staying on each location of trajectories
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Guo, Limin, Huang, Guangyan ORCID: 0000-0002-1821-8644, Gao, Xu, He, Jing, Wu, Bin 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 | https://vuir.vu.edu.au/id/eprint/33538 |
Official URL | https://aaai.org/ocs/index.php/WS/AAAIW15/paper/vi... |
ISBN | 9781577357254 |
Subjects | Historical > 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 | 3 - View on Scopus |
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