A DISTRIBUTED VISION SYSTEM FOR BOAT TRAFFIC
MONITORING IN THE VENICE GRAND CANAL
D. Bloisi, L. Iocchi, R. Leone, R. Pigliacampo
Dip. Informatica e Sistemistica - University “La Sapienza” – Rome, Italy
L. Tombolini Ecotema – Cannaregio 463, Venice, Italy
L. Novelli Archimedes – via Tagliamento 9, Rome, Italy
Aim:
To control boat traffic in a waterway of about 6km length through 13
observation posts (Survey Cells) for real-time monitoring and later time
statistical analysis
Survey Cell:
3 high resolution network cameras, a
PTZ camera for zoom and tracking of the selected target,
and 2 computers running the image processing and
tracking software
Image
analysis:
Multi-gaussian
background
subtraction in combination with optical flow analysis to
obtain robust image segmentation. Ellipse approximation
are computed on the blobs detected
Tracking:
Observations from the image processing step
are used by a multi-hypothesis Kalman filter to track targets
over time
Live aerial view:
Live images are rectified and stitched
together to generate a composite top view of the Grand
Canal