Maritime Detection, Classification, and Tracking (MarDCT) is a database of images and videos containing data coming from multiple video sources (fixed, zooming, and Pan-Tilt-Zoom cameras) and from different scenarios.
The aim of this project is to provide data sets that can be used to help in developing intelligent surveillance system for the maritime environment.
Feel free to contribute with your own videos contribute.
If you make use of the MarDCT data, please cite the following reference:
Bloisi, Domenico D.; Iocchi, Luca; Pennisi, Andrea; Tombolini, Luigi, "ARGOS-Venice Boat Classification," in 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015, pp.1-6, 2015. doi: 10.1109/AVSS.2015.7301727 Bibtex pdf