@inproceedings{ae6db875fd59481690cc9e43990649d0,
title = "Scene geometry from moving objects",
abstract = "It has been observed that in most videos recorded by surveillance cameras the image size of an object is a linear function of the y coordinate of its image location. This simple linear relationship holds in the most common surveillance camera configurations, where objects move on a planar surface and the camera's X axis is parallel to that plane. This linear relationship enables us to easily perform and enhance several geometric tasks based on tracking an object over a few frames: (i) computing the horizon; (ii) computing the relative real world sizes of objects in the scene based on their image appearance; (iii) improving tracking by constraining an object's location and size. When the the camera's X axis is not parallel to the ground plane, after tracking a couple of objects it is possible to find the rotation which rectifies the video so that its new X axis is parallel to the ground plane.",
author = "Eitan Richardson and Shmuel Peleg and Michael Werman",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 ; Conference date: 26-08-2014 Through 29-08-2014",
year = "2014",
month = oct,
day = "8",
doi = "10.1109/AVSS.2014.6918637",
language = "الإنجليزيّة",
series = "11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "13--18",
booktitle = "11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014",
address = "الولايات المتّحدة",
}