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Tomás Machado, Maia, R., Rui Maia, Pedro Santos, Santos, P. & Ferreira, J. (2019). Vessel trajectories outliers. In 9th International Symposium on Ambient Intelligence, ISAmI 2018. (pp. 247-255).: springer.
T. Machado et al., "Vessel trajectories outliers", in 9th Int. Symp. on Ambient Intelligence, ISAmI 2018, springer, 2019, vol. 806, pp. 247-255
@inproceedings{machado2019_1734915612535, author = "Tomás Machado and Maia, R. and Rui Maia and Pedro Santos and Santos, P. and Ferreira, J.", title = "Vessel trajectories outliers", booktitle = "9th International Symposium on Ambient Intelligence, ISAmI 2018", year = "2019", editor = "", volume = "806", number = "", series = "", doi = "10.1007/978-3-030-01746-0_29", pages = "247-255", publisher = "springer", address = "", organization = "", url = "https://link.springer.com/chapter/10.1007%2F978-3-030-01746-0_29" }
TY - CPAPER TI - Vessel trajectories outliers T2 - 9th International Symposium on Ambient Intelligence, ISAmI 2018 VL - 806 AU - Tomás Machado AU - Maia, R. AU - Rui Maia AU - Pedro Santos AU - Santos, P. AU - Ferreira, J. PY - 2019 SP - 247-255 SN - 2194-5357 DO - 10.1007/978-3-030-01746-0_29 UR - https://link.springer.com/chapter/10.1007%2F978-3-030-01746-0_29 AB - In this work we describe our first steps towards our H2020 project MARISA participation, where we intent to develop a tool-kit towards the identification of outliers in Vessel trajectories based on electronic data regarding position and time. These outliers can correspond to illegal activities that could be related with illegal immigration, drugs transshipment among others. We developed process tools that based on any electronic Vessel position systems, like Automatic Identification System (AIS) data, it is possible to extract routes in an unsupervised approach. At the same time identify non-conformities based on AIS data signal lost and to identify situation when two or more Vessels are approaching close to each other, called the rendezvous. ER -