Multiple view soccer players tracking using area-of-coverage

Viet Anh Ngo, Wenxian Yang, Jianfei Cai

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Abstract

Multiview provides correlated and redundant information which introduces advantages and obstacles over single view in application such as object tracking. In this paper, a novel system is proposed for parallel tracking of soccer players across multiple cameras using the concept of Area-of-Coverage. The system constructs and analyses the homography of each camera views(Area-of-Coverage) and based on their relationship selects the set of the camera for process which could greatly reduce redundancy and complexity on data fusion between individual views. The Area-of-Coverage also helps to increase accuracy in the detection process as well as provides information for automatic occlusion reasoning. Results and quantitative measurement are demonstrated on the TricTrac multiview soccer dataset.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009
PublisherElsevier
Pages121-126
Number of pages6
ISBN (Print)9781601321190
Publication statusPublished - Dec 2009
Externally publishedYes
EventInternational Conference on Image Processing, Computer Vision and Pattern Recognition 2009 - Las Vegas, United States of America
Duration: 13 Jul 200916 Jul 2009

Conference

ConferenceInternational Conference on Image Processing, Computer Vision and Pattern Recognition 2009
Abbreviated titleIPCV 2009
CountryUnited States of America
CityLas Vegas
Period13/07/0916/07/09

Keywords

  • Area-of-coverage
  • Camera registration
  • Multiview tracking

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