Title :
Tracking a video object with the active contour (snake) predicted by the optical flow
Author_Institution :
Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK
Abstract :
This paper presents an application of the classical method of active contour (snakes) to the real time video environment, where tracking a video object is a primary task. The greedy method that minimizes the energy function to update the snake points, was combined with the optical flow method to cope with the situation that the object of interest moves too far beyond the reach of the edge sensor. The real time video processing platform has been developed to realize the deformable active contour by using VideoOCX of Visual Basic.
Keywords :
Visual BASIC; edge detection; greedy algorithms; image sequences; video signal processing; VideoOCX; Visual Basic; active contour; edge sensor; greedy method; optical flow; real time video environment; snake points; video object; Active contours; Application software; Greedy algorithms; Image motion analysis; Layout; Optical computing; Optical sensors; Power engineering and energy; Shape; Target tracking; Active contour; VideoOCX; dynamic; optical flow; programming; snakes;
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2008.4564559