Keypoint-less Camera Calibration for Sports Field Registration in Soccer

07/24/2022
by   Jonas Theiner, et al.
0

Sports field registration in broadcast videos is typically interpreted as the task of homography estimation, which provides a mapping between a planar field and the corresponding visible area of the image. In contrast to previous approaches, we consider the task as a camera calibration problem. First, we introduce a differentiable objective function that is able to learn the camera pose and focal length from segment correspondences (e.g., lines, point clouds), based on pixel-level annotations for segments of a known calibration object, i.e., the sports field. The calibration module iteratively minimizes the segment reprojection error induced by the estimated camera parameters. Second, we propose a novel approach for 3D sports field registration from broadcast soccer images. The calibration module does not require any training data and compared to the typical solution, which subsequently refines an initial estimation, our solution does it in one step. The proposed method is evaluated for sports field registration on two datasets and achieves superior results compared to two state-of-the-art approaches.

READ FULL TEXT

page 1

page 7

page 11

research
04/10/2023

Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration

The filming of sporting events projects and flattens the movement of ath...
research
03/04/2017

Automated Top View Registration of Broadcast Football Videos

In this paper, we propose a novel method to register football broadcast ...
research
09/16/2022

KaliCalib: A Framework for Basketball Court Registration

Tracking the players and the ball in team sports is key to analyse the p...
research
09/17/2019

Optimizing Through Learned Errors for Accurate Sports Field Registration

We propose an optimization-based framework to register sports field temp...
research
01/26/2018

A Two-point Method for PTZ Camera Calibration in Sports

Calibrating narrow field of view soccer cameras is challenging because t...
research
08/02/2023

Homography Estimation in Complex Topological Scenes

Surveillance videos and images are used for a broad set of applications,...
research
07/11/2017

RegNet: Multimodal Sensor Registration Using Deep Neural Networks

In this paper, we present RegNet, the first deep convolutional neural ne...

Please sign up or login with your details

Forgot password? Click here to reset