Data di Pubblicazione:
2013
Abstract:
In this paper, a real case study on a Goal Line Monitoring
system is presented. The core of the paper is a re-
fined ball detection algorithm that analyzes candidate ball
regions to detect the ball. A decision making approach, by
means of camera calibration, decides about the goal event
occurrence. Differently from other similar approaches, the
proposed one provides, as unquestionable proof, the image
sequence that records the goal event under consideration.
Moreover, it is non-invasive: it does not require any change
in the typical football devices (ball, goal posts, and so on).
Extensive experiments were performed on both real matches
acquired during the Italian Serie A championship, and specific
evaluation tests by means of an artificial impact wall
and a shooting machine for shot simulation. The encouraging
experimental results confirmed that the system could
help humans in ambiguous goal line event detection.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
decision making; image sensors; image sequences; object detection; sport
Elenco autori:
Distante, Arcangelo; Nitti, Massimiliano; Leo, Marco; Mazzeo, PIER LUIGI; Spagnolo, Paolo; Stella, Ettore
Link alla scheda completa:
Titolo del libro:
Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on