DocumentCode :
2916272
Title :
Tracking multiple objects using moving snakes
Author :
De Vylder, Jonas ; Ochoa, Daniel ; Philips, Wilfried ; Chaerle, Laury ; Van Der Straeten, Dominique
Author_Institution :
Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
fYear :
2009
fDate :
5-7 July 2009
Firstpage :
1
Lastpage :
6
Abstract :
Active contours or snakes are widely used for segmentation and tracking. The ability of a snake to track an object depends on the movement of the object. If the object moves too far from one frame to another, the snake risks losing the true contour location. The subsequent evolution steps are negatively affected, reporting a false contour that can propagate to other frames. To overcome this problem a new snake algorithm has been developed. This new technique, moving snakes, works in two steps. During the first step, the snake is translated as a rigid body towards the contour. This translation is calculated using the external force field of the image, therefore it does not require prior knowledge about the object movement. In the second step the actual shape evolution of the snake takes place.
Keywords :
image segmentation; tracking; active contour; external force; image segmentation; multiple object; subsequent evolution; Active contours; Biochemistry; Convergence; Image processing; Image segmentation; Information processing; Physiology; Shape; Telecommunication computing; Tracking; Active Contours; Multiple Objects; Rigid Body; Segmentation; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2009 16th International Conference on
Conference_Location :
Santorini-Hellas
Print_ISBN :
978-1-4244-3297-4
Electronic_ISBN :
978-1-4244-3298-1
Type :
conf
DOI :
10.1109/ICDSP.2009.5201067
Filename :
5201067
Link To Document :
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