English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This technical report describes a modular and extensible architecture forcomputing visual statistics in RoboCup SPL (MARIO), presented during the SPLOpen Research Challenge at RoboCup 2022, held in Bangkok (Thailand). MARIO isan open-source, ready-to-use software application whose final goal is tocontribute to the growth of the RoboCup SPL community. MARIO comes with a GUIthat integrates multiple machine learning and computer vision based functions,including automatic camera calibration, background subtraction, homographycomputation, player + ball tracking and localization, NAO robot pose estimationand fall detection. MARIO has been ranked no. 1 in the Open Research Challenge.

MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL