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Multimedia Tools and Applications

, Volume 73, Issue 3, pp 1617–1642 | Cite as

A semi-supervised system for players detection and tracking in multi-camera soccer videos

  • Rafael MartínEmail author
  • José M. Martínez
Article

Abstract

This paper presents a complete, general and modular system which after a simple previous configuration is able to detect and track each player on the court or field. The presented multi-camera system is based on a mono-camera object detection and tracking system originally designed for video surveillance applications. Target sports of the developed system are team sports (e.g., basketball, soccer). The main objective of this paper is to present a semi-supervised system able to detect and track the players in multi-camera sports videos, focusing on the fusion of different tracks of detected blobs in order to match tracks across cameras. The proposed system is simpler than other systems from the state of the art, can operate in real time and has margin to be improved and to reduce supervision adding additional complexity. In addition to the detection and tracking system, an evaluation system has been designed to obtain quantitative results of the system performance.

Keywords

Sports videos Multi-camera systems Object detection Object tracking Fusion Homography 

Notes

Acknowledgments

This work has been partially supported by the Spanish Government (TEC2011-25995).

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.VPULab, EPS – Universidad Autónoma de MadridMadridSpain

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