Robust Camera Calibration Tool for Video Surveillance Camera in Urban Environment
Abstract
Video surveillance applications such as smart room and security system are prevailing nowadays. Camera calibration information (e.g. camera position, orientation, and focal length) is very useful for various surveillance systems because it can provide scene knowledge and limit search space for object detection or tracking. In this paper, we describe a camera calibration tool that does not require any calibration object or specific geometric objects by using vanishing points. In urban environment, vanishing points are easily obtainable since there exist many parallel lines such as street lines, light poles, buildings, etc in either outdoor or indoor scene images. Experimental results from various surveillance cameras are presented.
Cite
Text
Lee and Nevatia. "Robust Camera Calibration Tool for Video Surveillance Camera in Urban Environment." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981777Markdown
[Lee and Nevatia. "Robust Camera Calibration Tool for Video Surveillance Camera in Urban Environment." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/lee2011cvprw-robust/) doi:10.1109/CVPRW.2011.5981777BibTeX
@inproceedings{lee2011cvprw-robust,
title = {{Robust Camera Calibration Tool for Video Surveillance Camera in Urban Environment}},
author = {Lee, Sung Chun and Nevatia, Ramakant},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2011},
pages = {62-67},
doi = {10.1109/CVPRW.2011.5981777},
url = {https://mlanthology.org/cvprw/2011/lee2011cvprw-robust/}
}