Geometric and radiometric characteristics of a prototype surveillance system

Ariff, Mohd Farid Mohd and Chong, Albert K. and Majid, Zulkepli and Setan, Halim (2013) Geometric and radiometric characteristics of a prototype surveillance system. Measurement, 46 (1). pp. 610-620. ISSN 0263-2241


This paper reports the research findings regarding the quality of the captured video of a prototype Near-Infrared imaging system which was developed for night-time surveillance. The prototype required the incorporation of a 3D optical stereo adapter and a set of external near-infrared filters onto the optics of a conventional video camera. The study found that the video captured by the prototype was approximately 85% of the original video camera resolution and the radial lens distortion increased from one to approximately two pixels. The distortion was easily reduced to sub-pixel value using suitable image processing techniques. The standard deviation of the 3D measurement between any two facial anthropometric marks was better than 2 mm for all the tested models. The image radiometric quality was sufficient to provide accurate facial landmark identification for three test subjects. The results confirmed that the prototype was suitable for 3D spatial data capture and feature interpretation of crime suspects in court.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2012 Elsevier Ltd. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 29 Jul 2013 07:10
Last Modified: 13 Jun 2016 04:49
Uncontrolled Keywords: 3D measurement; image noise; modulation transfer function; MTF; near-infrared; radiometric; video
Fields of Research : 04 Earth Sciences > 0404 Geophysics > 040404 Geothermics and Radiometrics
10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1016/j.measurement.2012.09.001

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