Real-time drip infusion monitoring through a computer vision system

Author(s):  
Nicola Giaquinto ◽  
Marco Scarpetta ◽  
Mattia Alessandro Ragolia ◽  
Pietro Pappalardi
2011 ◽  
Vol 76 (2) ◽  
pp. 169-174 ◽  
Author(s):  
Peter Ahrendt ◽  
Torben Gregersen ◽  
Henrik Karstoft

Author(s):  
D. Y. Erokhin ◽  
A. B. Feldman ◽  
S. E. Korepanov

Detection of moving objects in video sequence received from moving video sensor is a one of the most important problem in computer vision. The main purpose of this work is developing set of algorithms, which can detect and track moving objects in real time computer vision system. This set includes three main parts: the algorithm for estimation and compensation of geometric transformations of images, an algorithm for detection of moving objects, an algorithm to tracking of the detected objects and prediction their position. The results can be claimed to create onboard vision systems of aircraft, including those relating to small and unmanned aircraft.


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