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Recently, a number of studies have demonstrated that thermal infrared (IR) imagery offers a promising alternative to visible imagery in face recognition problems due to its invariance to visible illumination changes. However, thermal IR has other limitations including that it is opaque to glass. As a result, thermal IR imagery is very sensitive to facial occlusion caused by eyeglasses. Fusion of the...
An implemented system for achieving high level situation awareness about traffic situations in an urban area is described. It takes as input sequences of color and thermal images which are used to construct and maintain qualitative object structures and to recognize the traffic behavior of the tracked vehicles in real time. The system is tested both in simulation and on data collected during test...
A dynamic image fusion scheme for infrared and visible sequence based on region target detection is proposed in this paper. Target detection technique is employed to segment the source images into target and background regions. Different fusion rules are adopted respectively in target and background regions. A limitedly redundant discrete wavelet transform (LR DWT) method is introduced to achieve...
This paper proposes an automated learning method (ALM) based on real-coded genetic algorithm (RCGA) to infer the multi-criteria classifiers (MCC) parameters. The multi-criteria classifiers (or multi-criteria classification methods) considered are based on concordance and discordance concepts. A military database of 2545 forward looking infra-red (FLIR) images representing eight different classes of...
In uncontrolled environments, with dynamic background and lighting changes, performing efficient and real-time foreground - background segmentation is very challenging. This work is based on the hypothesis that the combination of long wave infrared (LWIR) (8-12 mum) and colour cameras can significantly improve the robustness of moving objects extraction. Pros and cons of colour and thermal imagers...
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