NDLI: Video Metrology without the Image-to-Ground Homography

Content Provider	IEEE Xplore Digital Library
Author	Scoleri, T.
Copyright Year	2010
Abstract	The ability to measure metric information from videos is an essential functionality in security software packages that populate databases with human morphometric and gait descriptors. The configuration of such security systems often involves calibrating the cameras in the surveillance network. For this purpose, markers are placed on the ground in the vicinity of each camera location in order to compute a critical image-to-ground homography. This paper shows how the homography computation can be avoided by describing the key components of a system designed for view-independent video metrology. Experiments on measuring the height of subjects and ground distances from different camera views demonstrate the viability of the approach. In addition, it is shown that the calibration model of the proposed method yields more accurate measurements than the frequently used square pixel camera model.
Starting Page	335
Ending Page	342
File Size	1000678
Page Count	8
File Format	PDF
ISBN	9781424488162
DOI	10.1109/DICTA.2010.64
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	biometry ground measurement Computational modeling height measurement metrology Calibration video mensuration Image segmentation Metrology Cameras surveillance Mathematical model CCTV single camera calibration Pixel
Content Type	Text
Resource Type	Article

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