  Ubiquitous sensors and Internet of Things (IoT) technologies have
revolutionized the sports industry, providing new methodologies for planning,
effective coordination of training, and match analysis post game. New methods,
including machine learning, image and video processing, have been developed for
performance evaluation, allowing the analyst to track the performance of a
player in real-time. Following FIFA's 2015 approval of electronics performance
and tracking system during games, performance data of a single player or the
entire team is allowed to be collected using GPS-based wearables. Data from
practice sessions outside the sporting arena is being collected in greater
numbers than ever before. Realizing the significance of data in professional
soccer, this paper presents video analytics, examines recent state-of-the-art
literature in elite soccer, and summarizes existing real-time video analytics
algorithms. We also discuss real-time crowdsourcing of the obtained data,
tactical and technical performance, distributed computing and its importance in
video analytics and propose a future research perspective.
