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 language | English |
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Title of host publication | 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 13-18 |
Number of pages | 6 |
ISBN (Electronic) | 9781479948710 |
DOIs | |
State | Published - 8 Oct 2014 |
Event | 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 - Seoul, Korea, Republic of Duration: 26 Aug 2014 → 29 Aug 2014 |
Publication series
Name | 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 |
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Conference
Conference | 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2014 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 26/08/14 → 29/08/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.