@InProceedings{Führ:2016:UsCaPe,
author = "F{\"u}hr, Gustavo",
title = "On the use of calibration for pedestrian detection in on-board
vehicular cameras",
booktitle = "Proceedings...",
year = "2016",
editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and
Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson
A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti,
David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa,
Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and
Santos, Jefersson dos and Schwartz, William Robson and Thomaz,
Carlos E.",
organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
publisher = "IEEE Computer Society´s Conference Publishing Services",
address = "Los Alamitos",
keywords = "pedestrian detection, calibration, on-board cameras.",
abstract = "This paper presents a new approach for pedestrian detection in the
context of Driver Assistance Systems (DAS). Given a camera with
known intrinsic parameters, a flexible online calibration scheme
that explores the expected road geometry is used to obtain the
extrinsic parameters. With the full camera parameters, the
expected geometry and size of a standing person is used to
customize a baseline pedestrian detector based on sliding windows
and multiple scales. Our experimental results show that the
proposed approach allows the use of detachable cameras in the
context of DAS, improving the accuracy of the baseline pedestrian
detector. Furthermore, the flexible calibration scheme allows to
estimate the distance from detected pedestrians to the camera
using detachable cameras, opposed to the fixed onboard cameras in
commercial vehicles that support vision-based DAS.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
conference-year = "4-7 Oct. 2016",
doi = "10.1109/SIBGRAPI.2016.020",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.020",
language = "en",
ibi = "8JMKD3MGPAW/3M5KB25",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5KB25",
targetfile = "calibration-pedestrian-detection-camera-ready.pdf",
urlaccessdate = "2024, May 01"
}