Real Time Colour Based Player Tracking in Indoor Sports

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Santiago, CB (Author) Other; Armando Jorge Sousa (Author) FEUP; reis, lp (Author) FEUP; Estriga, ML (Author) Other

Conference proceedings International

Title: Computational Vision and Medical Image Processing - Recent Trends

Pages: 17-35

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 13 Citations

Other information

Authenticus ID: P-00K-DTN

DOI: 10.1007/978-94-007-0011-6_2

Abstract (EN): In recent years there has been a growing interest by the sport's experts (teachers and coaches) in developing automatic systems for detecting, tracking and identifying player's movements with the purpose of improving the players' performance and accomplishing a consistent and standard analysis of the game metrics. A challenge like this requires sophisticated techniques from the areas of image processing and artificial intelligence. The objective of our work is to study and develop hardware and software techniques in order to build an automatic visual system for detecting and tracking players in indoor sports games that can aid coaches to analyse and improve the players' perfoiniance. Our methodology is based on colour features and therefore several colour image processing techniques such as background subtraction, blob colour definition (RGB and HSL colour spaces) and colour blob manipulation are employed in order to detect the players. Past information and players' velocity allow the tracking algorithm to define probable areas. Tests conducted with a single IP surveillance camera on the sports hall of the Faculty of Sports from the University of Porto showed detection rates from 72.2% to 93.3%.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19