Abstract
Color segmentation of images usually requires a manual selection and classification of samples to train the system. This paper presents an automatic system that performs these tasks without the need of a long training, providing a useful tool to detect and identify figures. In real situations, it is necessary to repeat the training process if light conditions change, or if, in the same scenario, the colors of the figures and the background may have changed, being useful a fast training method. A direct application of this method is the detection and identification of football players.
Original language | English |
---|---|
Title of host publication | PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING |
Editors | RJP DeFigueiredo |
Place of Publication | ANAHEIM |
Publisher | ACTA Press |
Pages | 500-505 |
Number of pages | 6 |
ISBN (Print) | 978-0-88986-675-1 |
Publication status | Published - 2007 |
Event | 9th IASTED International Conference on Signal and Image Processing - Honolulu, United States Duration: 20 Aug 2007 → 22 Aug 2007 |
Conference
Conference | 9th IASTED International Conference on Signal and Image Processing |
---|---|
Country/Territory | United States |
City | Honolulu |
Period | 20/08/2007 → 22/08/2007 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing