Accurate playfield detection using area-of-coverage

Viet Anh Ngo, Wenxian Yang, Jianfei Cai

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)


Playfield detection is an important task in sports video content analysis, as it provides the ground for further operations such as object detection, object tracking or semantic event highlight and summarization. Traditional approaches of playfield detection usually rely on the homogeneity cue of the field pixels' color to separate it from other areas within the image frame. Although encouraging results have been achieved using this methodology, the accuracy of the detection still largely varies depending on the grass pattern of the field. In this paper, we propose a novel approach to detect the playfield region using the concept of Area-of-Coverage. First, the system uses Gaussian Mixture Model (GMM) to obtain a rough segmentation of the playfield area. Based on this initial segmentation, feature points of the field are detected for calibration using homography and then the Area of Coverage (AoC) of the camera view is calculated. Finally, this AoC is back-projected to the image frame to provide a refine playfield detection. Experiments on real videos show that the proposed system achieves higher accuracy as well as stability compared to existing approaches.

Original languageEnglish
Title of host publicationISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
Subtitle of host publicationNano-Bio Circuit Fabrics and Systems
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781424453085
Publication statusPublished - 2010
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems 2010 - Paris, France
Duration: 30 May 20102 Jun 2010 (Proceedings)


ConferenceIEEE International Symposium on Circuits and Systems 2010
Abbreviated titleISCAS 2010
Internet address

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