Soccer Image Sequence Computed by a Virtual Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Free viewpoint video synthesis and presentation of sporting events for mixed reality entertainment
Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Fast Human Detection Using a Cascade of Histograms of Oriented Gradients
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Robust Pose Estimation from a Planar Target
IEEE Transactions on Pattern Analysis and Machine Intelligence
A real-time augmented-reality system for sports broadcast video enhancement
Proceedings of the 15th international conference on Multimedia
Baseball Playfield Segmentation Using Adaptive Gaussian Mixture Models
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
A real-time ellipse detection based on edge grouping
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Hi-index | 0.00 |
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.