Snooker ball detection with the use of computer vision

Matjaž Čuk (2014) Snooker ball detection with the use of computer vision. EngD thesis.

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Abstract

Snooker is a very popular game in the United Kingdom, but is also gaining in popularity in other countries. Table size in snooker is almost two times the size of a pool billiards table. Determining the ball location with the naked eye is thus even more difficult. The goal of this diploma thesis is to detect snooker balls and determine their position on the table with the use of computer vision. We developed an algorithm that detects over 99% of the balls and determines the ball location to centimetre accuracy. With a few modifications, it would also be possible to use our algorithm for ball detection on any billards table.

Item Type:

Thesis (EngD thesis)

Keywords:

ball detection, snooker, computer vision, OpenCV, circle detection

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Luka Šajn	307	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00010717012)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

2590

Date Deposited:

26 Jun 2014 10:18

Last Modified:

13 Aug 2014 14:05

URI:

http://eprints.fri.uni-lj.si/id/eprint/2590

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