In Search of a Car - Utilizing a 3D Model with Context for Object Detection

Mikael Nilsson, Håkan Ardö

2014

Abstract

Automatic video analysis of interactions between road users is desired for city and road planning. A first step of such a system is object localization of road users. In this work, we present a method of detecting a specific car in an intersection from a monocular camera image. A camera calibration and segmentation are utilized as inputs by the method in order to detect a car. Using these inputs, a sampled search space in the ground plane, including rotations, is explored with a 3D model of a car in order to produce output in form of rectangle detections in the ground plane. Evaluation on real recorded data, with ground truth for one car using GPS, indicates that a car can be detected in over 90% of the time with an average error around 0.5m.

Paper Citation

in Harvard Style

Nilsson M. and Ardö H. (2014). In Search of a Car - Utilizing a 3D Model with Context for Object Detection . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 419-424. DOI: 10.5220/0004685304190424

in Bibtex Style

@conference{visapp14,
author={Mikael Nilsson and Håkan Ardö},
title={In Search of a Car - Utilizing a 3D Model with Context for Object Detection},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={419-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004685304190424},
isbn={978-989-758-004-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - In Search of a Car - Utilizing a 3D Model with Context for Object Detection
SN - 978-989-758-004-8
AU - Nilsson M.
AU - Ardö H.
PY - 2014
SP - 419
EP - 424
DO - 10.5220/0004685304190424