Title :
Identifying and tracking ellipses: a technique based on elliptical deformable templates
Author :
Scaggiante, Andrea ; Frezza, Ruggero ; Zampato, Massimo
Author_Institution :
Tecnomare SpA, Italy
Abstract :
This paper is about the problem of detecting and tracking ellipses in cluttered image sequences in the presence of wide displacements. We propose an original technique based on a deformable elliptical template. The mock-up of a well head was kindly provided by Tecnomare to test the application of the algorithm for the purpose of oil rig maintenance. The performance of the proposed technique is compared with that of two classical active contour models
Keywords :
edge detection; image sequences; maintenance engineering; object detection; object recognition; oil refining; tracking; Tecnomare; active contour models; cluttered image sequences; ellipse detection; ellipse identification; ellipse tracking; elliptical deformable templates; oil rig maintenance; performance; well head; wide displacements; Active contours; Connectors; Deformable models; Electrical capacitance tomography; Image edge detection; Image sequences; Layout; Petroleum; Shape; Testing;
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
DOI :
10.1109/ICIAP.1999.797659
