Face recognition using infrared images and eigenfaces
Face recognition using infrared images and eigenfaces
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Infrared land mine detection by parametric modeling
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Infrared image processing and its application to forest fire surveillance
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Multi-sensor fire detection by fusing visual and non-visual flame features
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Digital Signal Processing
Multi-modal time-of-flight based fire detection
Multimedia Tools and Applications
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Signal processing applied to pixel by pixel infrared image processing has been frequently used as a tool for fire detection in different scenarios. However, when processing the images pixel by pixel, the geometrical or spatial characteristics of the objects under test are not considered, thus increasing the probability of false alarms. In this paper we use classical techniques of image processing in the characterization of objects in infrared images. While applying image processing to thermal images it is possible to detect groups of hotspots representing possible objects of interest and extract the most suitable features to distinguish between them. Several parameters to characterize objects geometrically, such as fires, cars or people, have been considered and it has been shown their utility to reduce the probability of false alarms of the pixel by pixel signal processing techniques.