Thermal Tracking of Sports Players
AbstractWe present here a real-time tracking algorithm for thermal video from a sports game. Robust detection of people includes routines for handling occlusions and noise before tracking each detected person with a Kalman filter. This online tracking algorithm is compared with a state-of-the-art offline multi-target tracking algorithm. Experiments are performed on a manually annotated 2-minutes video sequence of a real soccer game. The Kalman filter shows a very promising result on this rather challenging sequence with a tracking accuracy above 70% and is superior compared with the offline tracking approach. Furthermore, the combined detection and tracking algorithm runs in real time at 33 fps, even with large image sizes of 1920 × 480 pixels.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Gade, R.; Moeslund, T.B. Thermal Tracking of Sports Players. Sensors 2014, 14, 13679-13691.
Gade R, Moeslund TB. Thermal Tracking of Sports Players. Sensors. 2014; 14(8):13679-13691.Chicago/Turabian Style
Gade, Rikke; Moeslund, Thomas B. 2014. "Thermal Tracking of Sports Players." Sensors 14, no. 8: 13679-13691.