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Published in:
Application of Image Classification for Fine-Grained Nudity Detection Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Pixel2Field: Single Image Transformation to Physical Field of Sports Videos

Author : Liang Peng

Published in: Advances in Visual Computing

Publisher: Springer International Publishing

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Abstract

Locating players on a 2D field plane for sports match is the first step towards developing many types of sports analytics applications. Most existing mechanisms of locating players require them to wear sensors during sports play. Sports games can be easily recorded by cameras with low cost. Current human detection and tracking techniques can be used to locate players in the video, which is typically distorted for panorama view. We propose an end-to-end system named Pixel2Field, which can transform every pixel location into their scaled 2d field image. This is done by first undistorting the image by estimating the distortion coefficients, followed by a homography recovery. Experiments using detected soccer players from a distorted video show the proposed transformation method works well. To the best of knowledge, this is the first end-to-end system that can transform frame pixel location to field location without any human intervention. This unlock a lot of opportunities for developing sports analytics applications.

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Metadata
Title
Pixel2Field: Single Image Transformation to Physical Field of Sports Videos
Author
Liang Peng
Copyright Year
2019
Book
Advances in Visual Computing

Print ISBN: 978-3-030-33719-3

Electronic ISBN: 978-3-030-33720-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-33720-9_51

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