CACAMO - computer-aided camouflage assessment of moving objects

Thomas Müller; Markus Müller

doi:10.1117/12.782742

15 April 2008 CACAMO - computer-aided camouflage assessment of moving objects

Thomas Müller, Markus Müller

Proceedings Volume 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX; 69410V (2008) https://doi.org/10.1117/12.782742
Event: SPIE Defense and Security Symposium, 2008, 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 image sequences. Since camouflage success is directly correlated with the detection range of target objects, the system supports the evaluation of image sequences with moving cameras. The main features of CART comprise a semi-automatic annotation functionality for marking target objects (ground truth generation) including a propagation of those markings over the image sequence, as well as a real-time evaluation of the marked image regions by applying individually selected feature extractors. The system works with visualoptical, infrared and SAR image data, which can be used separately or simultaneously. The software is designed as a generic integration platform, which can be extended to further sensors, measurements, feature extractors, methods, and tasks. Besides the demand of using moving cameras, it is important to support also moving objects in the scene (CACAMO - Computer Aided Camouflage Assessment of Moving Objects). Since moving objects are more likely to be discovered than other ones, the state of movement obviously is a significant factor when designing camouflage methods and should explicitly be incorporated into the assessment process. For this, the software provides auto-annotation tools, as well as a specific movement measurement component in order to capture the conspicuity depending on different moving states. The auto-annotation assistance for moving objects is done with the aid of tracking algorithms, incorporating color information, optical flow and change detection using Kalman and particle filters. The challenge is to handle semi or full camouflaged objects, a circumstance which naturally hinders computer vision algorithms.

Citation Download Citation

Thomas Müller and Markus Müller "CACAMO - computer-aided camouflage assessment of moving objects", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410V (15 April 2008); https://doi.org/10.1117/12.782742

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