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Person detection in LWIR imagery using image retrieval

 
: Müller, Thomas; Manger, Daniel

:
Postprint urn:nbn:de:0011-n-2644644 (590 KByte PDF)
MD5 Fingerprint: 6e2cdae11a0f7bee718bc489685bf47e
Copyright Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 27.2.2014


Sadjadi, F.A. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Automatic target recognition XXIII : 29 - 30 April 2013, Baltimore, Maryland, United States
Bellingham, WA: SPIE, 2013 (Proceedings of SPIE 8744)
ISBN: 978-0-8194-9535-8
Paper 87440E
Conference "Automatic Target Recognition" <23, 2013, Baltimore/Md.>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Abstract
This paper addresses the detection and localization of persons in LWIR imagery which is useful especially in visual surveillance tasks such as intruder detection in military camps or for gaining situational awareness. A robust image retrieval function is used after a previous hot spot detection and localization step in LWIR using a suitable, extensive image data base that covers a variety of different shapes and appearances of persons in LWIR. The basic idea behind this approach is, in contrast to the visual optical band (VIS), that persons in thermal infrared exhibit somehow similar, weakly individualized signatures which can be matched to a sufficient degree to images in the data base and, thus, can be distinguished from background structures and other objects. Dedicated pre and post processing routines optimize the results and compensate for a possibly occuring lack of image features needed by the image retrieval function. The achieved results document the practical benefit and the robustness of the presented aproach.

: http://publica.fraunhofer.de/documents/N-264464.html