Using infrared imaging technology for concealed weapons detection and visualization

Siu Yeung Cho, Nanda Pwint Tin

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

6 Citations (Scopus)


As the global threat of terrorism continues to escalate, finding efficient ways to ensure the safety of the public is becoming a major concern for the authorities. This paper presents an investigation of scanning and detection of concealed weapons with possible applications in high risk areas like airports. Using a passive and non-intrusive scanning method like Infrared (IR) imaging, and combining it with a visual image, we hope to devise a scheme which will be able to highlight sufficiently the presence of a concealed weapon but also protect the privacy of the person that is being scanned. As an initial phase of the investigation, this work is mainly based on various image processing and computer vision techniques. They are including: image registration, image fusion and image segmentation. The experimental results are shown to be promising but there are some limitations in terms of hardware used, adopted techniques and implementations. Some improvements including using more advanced imaging sensor, employing feature based image registration and segmenting images using advanced clustering methods could be addressed. The work is useful for human operators to determine weapons and non-weapons with the minimum false detections.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Number of pages6
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: 21 Nov 201024 Nov 2010

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Conference2010 IEEE Region 10 Conference, TENCON 2010

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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