A Survey on Object Detection and Tracking in Soccer Videos

Autor:	Rana Fareed Ghani, Huda Dheyauldeen Najeeb
Rok vydání:	2021
Předmět:	Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Artificial intelligence business Tracking (particle physics) Object detection ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Muthanna Journal of Pure Science. 8:1-13
ISSN:	2572-5181 2226-3284
DOI:	10.52113/2/08.01.2021/1-13
Popis:	"The players and ball are the most important object in soccer game videos and detected them are a challenging task because of many difficulties, such as shadow and illumination, ball size, several other objects look like a ball, often the ball overlapping with players or merged with lines, as well as the ball may be disappear which be hidden in the stadium or flying on air, and similar appearance of players, etc. The detect ball is the first step for tracking in broadcast soccer video. There are several methods of ball-tracking are based on their problem. In this paper, we have discussed different methods of object detection and tracking in the soccer videos which are available in the literature.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1178ced625a23811cd8e51739f9439b9 https://doi.org/10.52113/2/08.01.2021/1-13 Zobrazit plný text záznamu