Scene geometry from moving objects

Eitan Richardson*, Shmuel Peleg, Michael Werman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publication11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
ISBN (Electronic)9781479948710
DOIs
StatePublished - 8 Oct 2014
Event11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 - Seoul, Korea, Republic of
Duration: 26 Aug 201429 Aug 2014

Publication series

Name11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014

Conference

Conference11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period26/08/1429/08/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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