A vision-based system to support tactical and physical analyses in futsal

Abstract

This paper presents a vision-based system to support tactical and physical analyses of futsal teams. Most part of the current analyses in this sport are manually performed, while the existing solutions based on automatic approaches are frequently composed by costly and complex tools, developed for other kind of team sports, making it difficult their adoption by futsal teams. Our system, on the other hand, represents a simple yet efficient dedicated solution, which is based on the analyses of image sequences captured by a single stationary camera used to obtain top-view images of the entire court. We use adaptive background subtraction and blob analysis to detect players, as well as particle filters to track them in every video frame. The system determines the distance traveled by each player, his/her mean and maximum speeds, as well as generates heat maps that describe players' occupancy during the match. To present the collected data, our system uses a specially developed mobile application. Experimental results with image sequences of an official match and a training match show that our system provides data with global mean tracking errors below 40 cm, demanding on 25 ms to process each frame and, thus, demonstrating its high application potential.

Activity Profile and Physical Performance of Match Play in Elite Futsal Players

“…The present study showed an average value of maximum speed of 20.3 km/h, with peak values of 22.6 km/h. The average values of peak sprinting speed is lower when compared with the values (23.8 km/h) reported in a previous report ( de Pádua et al, 2017 ). Such results could be justified by a general increase in the work intensity of players in the last years, as well as by potential differences between leagues.…”

“…The scientific knowledge about EL and activity profiles of futsal players is still scarce ( Beato et al, 2017 ; Naser et al, 2017 ; Taylor et al, 2017 ). To the best of our knowledge, only five studies have investigated physical demands data in elite futsal players (official matches): one in the Spanish Professional Futsal League—analysis of distances covered and heart rate ( Barbero-Alvarez et al, 2008 ); one in Australian futsal players—analysis of match demands between levels of competition ( Doğramaci et al, 2015 ); and three in Brazil—analysis of sprints ( Caetano et al, 2015 ), distances covered ( De Oliveira Bueno et al, 2014 ), and distances covered, maximum speeds, and heat maps of player displacements ( de Pádua et al, 2017 ). Additionally, most of these studies were developed specifically for physical testing or during simulated games and only reported average values of some EL parameters.…”

Notational, sequential, and T-patterns analysis of the tactical schemes of a professional Futsal team

“…the coach can manipulate different constraints of the training exercises in order to potentiate decision-making behaviours desired for the players and team [4]. In futsal, observation and analysis are critical to understand what is happening in the game, to identify errors and positive aspects of the team, and to analyse the opponent's game strategy [2,5].…”