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A Vision-Based Mobile Augmented Reality System for Baseball Games

  • Seong-Oh Lee
  • Sang Chul Ahn
  • Jae-In Hwang
  • Hyoung-Gon Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6773)

Abstract

In this paper we propose a new mobile augmented-reality system that will address the need of users in viewing baseball games with enhanced contents. The overall goal of the system is to augment meaningful information on each player position on a mobile device display. To this end, the system takes two main steps which are homography estimation and automatic player detection. This system is based on still images taken by mobile phone. The system can handle various images that are taken from different angles with a large variation in size and pose of players and the playground, and different lighting conditions. We have implemented the system on a mobile platform. The whole steps are processed within two seconds.

Keywords

Mobile augmented-reality baseball game still image homography human detection computer vision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Seong-Oh Lee
    • 1
  • Sang Chul Ahn
    • 1
  • Jae-In Hwang
    • 1
  • Hyoung-Gon Kim
    • 1
  1. 1.Imaging Media Research CenterKorea Institute of Science and TechnologySeoulKorea

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