TY  - CONF
AU  - Sergi Garcia Bordils
AU  - George Tom
AU  - Sangeeth Reddy
AU  - Minesh Mathew
AU  - Marçal Rusiñol
AU  - C.V. Jawahar
AU  - Dimosthenis Karatzas
A2  - DAS
PY  - 2022//
TI  - Read While You Drive-Multilingual Text Tracking on the Road
T2  - LNCS
BT  - 15th IAPR International workshop on document analysis systems
SP  - 756–770
VL  - 13237
N2  - Visual data obtained during driving scenarios usually contain large amounts of text that conveys semantic information necessary to analyse the urban environment and is integral to the traffic control plan. Yet, research on autonomous driving or driver assistance systems typically ignores this information. To advance research in this direction, we present RoadText-3K, a large driving video dataset with fully annotated text. RoadText-3K is three times bigger than its predecessor and contains data from varied geographical locations, unconstrained driving conditions and multiple languages and scripts. We offer a comprehensive analysis of tracking by detection and detection by tracking methods exploring the limits of state-of-the-art text detection. Finally, we propose a new end-to-end trainable tracking model that yields state-of-the-art results on this challenging dataset. Our experiments demonstrate the complexity and variability of RoadText-3K and establish a new, realistic benchmark for scene text tracking in the wild.
SN  - 978-3-031-06554-5
UR  - https://link.springer.com/chapter/10.1007/978-3-031-06555-2_51
L1  - http://refbase.cvc.uab.es/files/GTR2022.pdf
UR  - http://dx.doi.org/10.1007/978-3-031-06555-2_51
N1  - DAG; 600.155; 611.022; 611.004
ID  - Sergi Garcia Bordils2022
ER  -