Atom Scott 🇬🇧

Atom Scott

Hi, I'm currently pursuing a Ph. D. (individual & group human motion) at Nagoya University🤸

✍️Publications 💁‍♂️"What I do" in 30s, 5mins, and 10mins

📜

Resume

👜

Linkedin

`Main Projects`

Playbox

Playbox generates highlights and stats from your videos in amatuer sport

Home | playbox

「人間の動きを計算可能にする」playboxでは、映像の効率的な利活用を可能にする先進的なAI解析システムの開発を目指しています。

www.play-box.ai

SportsLabKit

SportsLabKit is an open source python package for tracking

GitHub - AtomScott/SportsLabKit: A python package for turning sports video into csv files

A python package for turning sports video into csv files - AtomScott/SportsLabKit

github.com

GitHub - AtomScott/SportsLabKit: A python package for turning sports video into csv files

TeamTrack / SoccerTrack

Open source datasets for researchers to get started in tracking and event detection

SoccerTrack

A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos.

www.kaggle.com

TeamTrack: An Algorithm and Benchmark Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos

TeamTrack presents a new algorithm and dataset for multi-object tracking in team sports. It includes over 4 million annotated bounding boxes and provides a comprehensive resource for developing and evaluating MOT algorithms.

atomscott.github.io

TeamTrack: An Algorithm and Benchmark Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos

`Education`

2023-

Ph. D. @ Nagoya University

Advisor: Keisuke Fujii / Sports Behaviour Group

2021-2023

Masters Degree @ University of Tsukuba

Advisor: Kazuhiro Fukui / Computer Vision Lab

2016-2021

Bachelors Degree @ University of Tsukuba

Advisor: Kazuhiro Fukui / Computer Vision Lab

`Work & Research Experience`

2022/4-2022/10

ACES

Intern.

2019 (Summer)・2020-2022

Preferred Networks

Summer Intern, then PE.

2018-2022

AIST・AIRC

Technical Assistant, then Research Assistant.

2019 Spring

Splyza Teams

Part time work on UI.

2016-2020

University of Tsukuba Soccer

Player and analyst.

`Awesome Lists`

😎

Sports Analytics

GitHub - AtomScott/awesome-sports-analytics

A curated list of awesome machine learning applications in the sports domain. An up to date version of this awesome list can be found here (I'll be writing in this notion page for the time being). Check the contribution guidelines. Or DM me on twitter for a fast response.

github.com

GitHub - AtomScott/awesome-sports-analytics

Human Pose

GitHub - AtomScott/awesome-human-pose-estimation: Human Pose Estimation Related Publication

A collection of resources on human pose related problem: mainly focus on human pose estimation, and will include mesh representation, flow calculation, (inverse) kinematics, affordance, robotics, or sequence learning. This is a collection of papers and resources I curated when learning the ropes in Human Pose estimation.

github.com

GitHub - AtomScott/awesome-human-pose-estimation: Human Pose Estimation Related Publication

Trajectory Prediction

GitHub - AtomScott/Awesome-Interaction-aware-Trajectory-Prediction: A selection of state-of-the-art research materials on trajectory prediction

This is a checklist of state-of-the-art research materials (datasets, blogs, papers and public codes) related to trajectory prediction. Wish it could be helpful for both academia and industry. (Still updating) Maintainers: Jiachen Li , Hengbo Ma, Jinning Li (University of California, Berkeley) Emails: {jiachen_li, hengbo_ma, jinning_li}@berkeley.edu Please feel free to pull request to add new resources or send emails to us for questions, discussion and collaborations.

github.com

GitHub - AtomScott/Awesome-Interaction-aware-Trajectory-Prediction: A selection of state-of-the-art research materials on trajectory prediction

Game RL

GitHub - AtomScott/awesome-game-ai: Awesome Game AI materials of Multi-Agent Reinforcement Learning

A curated, but incomplete, list of game AI resources on multi-agent learning. If you want to contribute to this list, please feel free to send a pull request. Also you can contact daochen.zha@tamu.edu, or khlai@tamu.edu. Game AI is focusing on predicting which actions should be taken, based on the current conditions.

github.com