Dataset of elite soccer player movements and corresponding videos. The dataset is captured at Alfheim Stadium – the home arena for Tromsø IL (Norway). The player postions are measured at 20 Hz using the ZXY Sport Tracking system, and the video is captured from the middle of the field using two camera arrays.
Soccer Video and Player Position Dataset. Abstract: In this dataset paper, we present and make available a dataset of elite soccer player movements and corresponding videos. The dataset is captured at Alfheim Stadium -- the home arena for Tromsø IL (Norway). The player postions are measured at 20~Hz using the ZXY Sport Tracking system, and the video is captured from the middle of the field using two camera arrays.
Player tracking on video and bird’s-eye view. With player’s movement information, it is possible to do further analysis such as players’ running distance and velocity. The speed for running this player tracking is around 0.3 second per frame on my 2016 Macbook Pro Intel i5 CPU.
YOLOv3 Object Detection Model trained on Custom dataset An implementation to track Soccer players on any random video. The model also detects background such as crowd and hoardings.
Narya. The Narya API allows you to track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the following paper. We also make available all of our trained agents, and the datasets we used as well.
Soccer-logs can be used to compare the performance of players and track their evolution in time. As an example, we compare three forwards with different characteristics – L. Messi (FC Barcelona ...
Football players tracking. Color of the bounding box represents the color of jersey. Then similar to my previous post, by using Opencv’s getPerspectiveTransform, I obtained the bird’s-eye view as shown in the beginning.
Soccer Players Statistics. antoinekrajnc. • updated 3 years ago (Version 1) Data Tasks Code (2) Discussion (1) Activity Metadata. Download (4 MB) New Notebook. more_vert. business_center.
Hey guys. Are there any datasets that have been made by body sensors on players to get attributes like. Player position. PLayer speed. Ball position. Ball speed etc. If yes, please help with links. Thanks!