Paper Details: Downloads: 338
Serial Number: P1150535133
Title: Circle detection and tracking speed-up based on change-driven image processing
Authors: Fernando Pardo and Jose A. Boluda and Xaro Benavent and Juan Domingo
Abstract: Real-time motion analysis is an image processing task that requires high processing power due to the large amount of data involved. An improved strategy for processing image sequences is presented. This new approach takes only the pixels of the image sequence that are signicant for the motion estimation algorithm being implemented, reducing the amount of data to be processed and increasing the algorithm speed. This approach has been tested using one classical algorithm for object detection and tracking. The results show that this method is several times faster than the classical approach.
Keywords: Change-driven image processing, Hough transform, object tracking, circle recognition
Journal/Conference: ICGST Conference on Graphics, Vision and Image Processing, GVIP-05
Volume:
Issue:
Submission Date: 8/1/2005 12:00:00 AM
Review Date: 10/1/2005 12:00:00 AM
Publishing Date: 12/19/2005 12:00:00 AM
Article Downloads: 338
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