Towards real-time ball localization using cnns
Abstract Convolutional Neural Networks (CNNs) have shown promising results for various
computer vision tasks. Despite their success, localizing the ball in real-world RoboCup …
computer vision tasks. Despite their success, localizing the ball in real-world RoboCup …
A real-time ball detection approach using convolutional neural networks
Ball detection is one of the most important tasks in the context of soccer-playing robots. The
ball is a small moving object which can be blurred and occluded in many situations. Several …
ball is a small moving object which can be blurred and occluded in many situations. Several …
Fast and precise black and white ball detection for robocup soccer
J Menashe, J Kelle, K Genter, J Hanna… - RoboCup 2017: Robot …, 2018 - Springer
Abstract In 2016, UT Austin Villa claimed the Standard Platform League's second place
position at the RoboCup International Robot Soccer Competition in Leipzig, Germany as …
position at the RoboCup International Robot Soccer Competition in Leipzig, Germany as …
Ball localization for robocup soccer using convolutional neural networks
In RoboCup soccer, ball localization is an important and challenging task, especially since
the last change of the rule which allows 50% of the ball's surface to be of any color or pattern …
the last change of the rule which allows 50% of the ball's surface to be of any color or pattern …
Utilizing temporal information in deep convolutional network for efficient soccer ball detection and tracking
Soccer ball detection is identified as one of the critical challenges in the RoboCup
competition. It requires an efficient vision system capable of handling the task of detection …
competition. It requires an efficient vision system capable of handling the task of detection …
3d ball localization from a single calibrated image
G Van Zandycke… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Abstract 3D ball localization in team sports has various applications including automatic
offside detection in soccer, or shot release localization in basketball. Today, this task is …
offside detection in soccer, or shot release localization in basketball. Today, this task is …
Deepball: Deep neural-network ball detector
The paper describes a deep network based object detector specialized for ball detection in
long shot videos. Due to its fully convolutional design, the method operates on images of …
long shot videos. Due to its fully convolutional design, the method operates on images of …
Real-time CNN-based segmentation architecture for ball detection in a single view setup
G Van Zandycke, C De Vleeschouwer - Proceedings Proceedings of the …, 2019 - dl.acm.org
This paper considers the task of detecting the ball from a single viewpoint in the challenging
but common case where the ball interacts frequently with players while being poorly …
but common case where the ball interacts frequently with players while being poorly …
A benchmark data set and evaluation of deep learning architectures for ball detection in the RoboCup SPL
S O'Keeffe, R Villing - RoboCup 2017: Robot World Cup XXI 11, 2018 - Springer
This paper presents a benchmark data set for evaluating ball detection algorithms in the
RoboCup Soccer Standard Platform League. We created a labelled data set of images with …
RoboCup Soccer Standard Platform League. We created a labelled data set of images with …
Convolutional neural networks based ball detection in tennis games
In recent years sport video research has gained a steady interest among the scientific
community. The large amount of video data available from broadcast transmissions and from …
community. The large amount of video data available from broadcast transmissions and from …