Paper Info
Title
Boat Speed Monitoring Using Artificial Vision
Abstract
This paper describes a method to detect, measure the speed, and extract statistics of boats moving on a wide water surface using a single image stream taken from grayscale camera. The approach is based on a background subtraction technique combined with classification and tracking to improve robustness; it provides a stable detection even with sea waves and strong light reflections. The method returns correct speed values within the range ±5% in the 97% of use cases. The algorithm has been integrated in a speed warning prototype system on the Burano island in Venice, monitoring a 250 m wide channel slice. Images are captured by a high resolution camera and processed on site in real-time. Processing results can be accessed remotely for monitoring purposes. The system has been up and running for more than two years.
Year
DOI
Venue
2009
10.1007/978-3-642-04146-4_36
ICIAP
Keywords
Field
DocType
boat speed monitoring,wide water surface,speed warning prototype system,artificial vision,method returns correct speed,high resolution camera,processing result,burano island,m wide channel slice,sea wave,grayscale camera,background subtraction technique,background subtraction,real time processing,use case
Background subtraction,Computer vision,Use case,Pattern recognition,Computer science,Communication channel,Robustness (computer science),Artificial intelligence,Grayscale,Artificial vision,Motion vector
Conference
Volume
ISSN
Citations 
5716
0302-9743
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Alberto Broggi11527178.28
Pietro Cerri224016.96
Paolo Grisleri321417.99
Marco Paterlini400.34