CART V: recent advancements in computer-aided camouflage assessment

Thomas Müller; Markus Müller

doi:10.1117/12.884184

9 May 2011 CART V: recent advancements in computer-aided camouflage assessment

Thomas Müller, Markus Müller

Proceedings Volume 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII; 80140X (2011) https://doi.org/10.1117/12.884184
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

In order to facilitate systematic, computer aided improvements of camouflage and concealment assessment methods, the software system CART (Camouflage Assessment in Real-Time) was built up for the camouflage assessment of objects in multispectral image sequences (see contributions to SPIE 2007-2010 [1], [2], [3], [4]). It comprises a semi-automatic marking of target objects (ground truth generation) including their propagation over the image sequence and the evaluation via user-defined feature extractors as well as methods to assess the object's movement conspicuity. In this fifth part in an annual series at the SPIE conference in Orlando, this paper presents the enhancements over the recent year and addresses the camouflage assessment of static and moving objects in multispectral image data that can show noise or image artefacts. The presented methods fathom the correlations between image processing and camouflage assessment. A novel algorithm is presented based on template matching to assess the structural inconspicuity of an object objectively and quantitatively. The results can easily be combined with an MTI (moving target indication) based movement conspicuity assessment function in order to explore the influence of object movement to a camouflage effect in different environments. As the results show, the presented methods contribute to a significant benefit in the field of camouflage assessment.

Citation Download Citation

Thomas Müller and Markus Müller "CART V: recent advancements in computer-aided camouflage assessment", Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 80140X (9 May 2011); https://doi.org/10.1117/12.884184

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