A Vision-Based Mobile Augmented Reality System for Baseball Games

Title
A Vision-Based Mobile Augmented Reality System for Baseball Games
Authors
이성오안상철황재인김형곤
Keywords
Mobile augmented-reality; baseball game; human detection; computer vision; still image; homography
Issue Date
2011-07
Publisher
Lecture notes in computer science
Citation
VOL 6773, 61-68
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.
URI
http://pubs.kist.re.kr/handle/201004/45626
ISSN
0302-9743
Appears in Collections:
KIST Publication > Article
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