Pseudo Fuzzy colour calibration for sport video segmentation

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

santiago, cb (Author) Other; sousa, a (Author) Other; reis, lp (Author) FEUP

Conference proceedings International

Title: COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011

Pages: 361-366

3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)

Olhao, PORTUGAL, OCT 12-14, 2011

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-008-2AV

Abstract (EN): Video segmentation is one of the most important parts of a vision system which allows partitioning each frame into homogeneous regions that share a common property. This work proposes a new methodology that aggregates three different techniques: background subtraction, region growing and a pseudo Fuzzy colour model to define colour subspaces that characterize each class. In addition, the pseudo Fuzzy colour model allows a given colour to belong to more than one class and enables the expansion ofthe classes through a dynamic model based on belonging and persistence information. In case of shared colours among classes, regional features are searched in order to determine the object's class. Tests with test and real videos of sports footages show promising results.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6