Simultaneous Surveillance Camera Calibration and Foot-Head Homology Estimation from Human Detections
Abstract
We propose a novel method for automatic camera calibration and foot-head homology estimation by observing persons standing at several positions in the camera field of view. We demonstrate that human body can be considered as a calibration target thus avoiding special calibration objects or manually established fiducial points. First, by assuming roughly parallel human poses we derive a new constraint which allows to formulate the calibration of internal and external camera parameters as a Quadratic Eigenvalue Problem. Secondly, we couple the calibration with an improved effective integral contour based human detector and use 3D projected models to capture a large variety of person and camera mutual positions. The resulting camera auto-calibration method is very robust and efficient, and thus well suited for surveillance applications where the camera calibration process cannot use special calibration targets and must be simple.
Cite
Text
Micusík and Pajdla. "Simultaneous Surveillance Camera Calibration and Foot-Head Homology Estimation from Human Detections." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539786Markdown
[Micusík and Pajdla. "Simultaneous Surveillance Camera Calibration and Foot-Head Homology Estimation from Human Detections." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/micusik2010cvpr-simultaneous/) doi:10.1109/CVPR.2010.5539786BibTeX
@inproceedings{micusik2010cvpr-simultaneous,
title = {{Simultaneous Surveillance Camera Calibration and Foot-Head Homology Estimation from Human Detections}},
author = {Micusík, Branislav and Pajdla, Tomás},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2010},
pages = {1562-1569},
doi = {10.1109/CVPR.2010.5539786},
url = {https://mlanthology.org/cvpr/2010/micusik2010cvpr-simultaneous/}
}