Person detection in LWIR imagery using image retrieval

Thomas Müller; Daniel Manger

doi:10.1117/12.2015853

20 May 2013 Person detection in LWIR imagery using image retrieval

Thomas Müller, Daniel Manger

Proceedings Volume 8744, Automatic Target Recognition XXIII; 87440E (2013) https://doi.org/10.1117/12.2015853
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Thomas Müller and Daniel Manger "Person detection in LWIR imagery using image retrieval", Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440E (20 May 2013); https://doi.org/10.1117/12.2015853

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