Background Subtraction

Data	Sensor	Location	Time	Camera	Reflections	View	GT Data
venice-1.m4v	EO	Venice, Italy	Afternoon	Static	Medium	Center
venice-2.m4v	EO	Venice, Italy	Morning	Static	High	Center
venice-3.m4v	EO	Venice, Italy	Morning	Static	High	Center
venice-4.m4v	EO	Venice, Italy	Morning	Static	Low	Right
venice-5.m4v	EO	Venice, Italy	Morning	Static	Low	Center
venice-6.m4v	EO	Venice, Italy	Afternoon	Static	Low	Right
venice-7.m4v	EO	Venice, Italy	Afternoon	Static	Medium	Left
venice-8.m4v	EO	Venice, Italy	Afternoon	Static	Medium	Center
venice-9.m4v	EO	Venice, Italy	Afternoon	Static	High	Right
venice-10.m4v	EO	Venice, Italy	Night	Static	High	Center
ir-1.avi	IR	Northern Europe	Night	Static	Low	Center
ir-2.avi	IR	Northern Europe	Night	Static	Low	Center
ir-3.avi	IR	Northern Europe	Night	Static	Low	Center
IR-validation.zip	IR	Northern Europe	Night	Static	Low	Center
reflections-1.avi	EO	Italy	Day	Static	High	Center
reflections-2.avi	EO	Italy	Day	Static	High	Center
reflections-3.avi	EO	Italy	Day	Static	High	Center
italy-occlusions-1.avi	EO	Italy	Day	Static	Low	Center
italy-occlusions-2.avi	EO	Italy	Day	Static	Low	Center
occlusions-3.avi	EO	Italy	Day	Static	Low	Center

Haar Based

The images in this page can be used to create a classifier for detecting boats.

• Negative Images
• Positive Images (60x30)

Some images are taken from the Internet or from the VOC2012 dataset.

References

D. Bloisi, L. Iocchi, M. Fiorini, G. Graziano, "Camera Based Target Recognition for Maritime Awareness", In Proceedings of the Fifteen International Conference on Information Fusion (FUSION), Singapore, pp. 1982-1987, 2012.

D. Bloisi, L. Iocchi, M. Fiorini, G. Graziano, "Automatic Maritime Surveillance with Visual Target Detection", In Proceedings of the International Defense and Homeland Security Simulation Workshop (DHSS), Rome, Italy, pp. 141-145, 2011.