@inproceedings{2001440,
author={Carlos Merino and  Karel Lenc and Majid Mirmehdi},
title={A Head-mounted Device for Understanding Text in Natural Scenes},
booktitle={Fourth International Workshop on Camera-Based Document Analysis and Recognition},
publisher={Springer LCNS 7139},
pages={29--41},
month={August},
year={2011},
abstract={We present a mobile head-mounted device for detecting and tracking
text that is encased in an ordinary flat-cap hat. The main parts of
the device are an integrated camera and audio webcam together with a
simple remote control system, all connected via a USB hub to a
laptop. A near to real-time text detection algorithm (around 14fps
for $\mathbf{640\times 480}$ images) which uses Maximal Stable
Extremal Regions (MSERs) for image segmentation is proposed.
Comparative results against the ICDAR 2003 text locating competition
database along with performance figures are presented.},
abstract-url={http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001440},
url={http://www.cs.bris.ac.uk/Publications/Papers/2001440.pdf},
keyword={Computer Vision},
pubtype={102}
}