Real Time Tennis Match Tracking with Low Cost Equipment

Mihai Polceanu (1) , Andreea-Oana Petac (1) , Hassan Ben Lebsir (1) , Bruno Fiter (2) , Cédric Buche (1)

1 Lab-STICC_ENIB_CID_IHSEV
2 Ericsson Research

We describe a modular system able to track players and ball rebound locations during a tennis match in real time, using a single, fixed medium resolution camera. The main challenge consists in obtaining a set of efficient detectors for use with low-cost equipment to perform object and event tracking in a tennis match. Each algorithm is described and system accuracy and module execution times are evaluated.

Domaines: Informatique; Intelligence artificielle [cs.AI]

Mihai Polceanu, Andreea-Oana Petac, Hassan Ben Lebsir, Bruno Fiter, Cédric Buche. Real Time Tennis Match Tracking with Low Cost Equipment. FLAIRS-31, May 2018, Melbourne, United States. pp.197--200. ⟨hal-01807734⟩