World Heritage Site: Venice and its Lagoon
Publication Year: 2015
Publication Type: Conference paper
Publication Identifier: WHE4E5C01D289
Summary
A novel dataset for boat classification, derived from the ARGOS surveillance system operating 24/7 in Venice's lagoon, offers unique challenges and opportunities for advancing vehicle detection and tracking technologies. This dataset, characterized by its diverse environmental conditions—including boat wakes, waves, and reflections—enables robust validation of classification techniques. By providing a publicly accessible resource, the study facilitates comparative analysis and development of new solutions, with potential applications extending beyond Venice to other maritime surveillance contexts.
Citation
Bloisi, D. D., Iocchi, L., Pennisi, A., & Tombolini, L. (2015). ARGOS-Venice Boat Classification. 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 1–6. https://doi.org/10.1109/avss.2015.7301727
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