Application studies of a simulated low density room-temperature IRFPA

Abstract

Recent developed thermal imagers using room-temperature IRFPA detectors have stimulated great opportunity in many commercial applications. This paper studies the possibility of using a low-density array detector for low-cost security-and-fire applications. Features on human body and plume were extracted by their infrared signatures. The human information was obtained from his spatial distribution, while a hazardous plume was supplemented with an additional temporal distribution. The function of a smaller array (less than or equal to 64x64) sensor was implemented by a high-resolution (320x240) commercial uncooled system through image downward re-sampling and pre-processing. Trade-off study between the recognition accuracy and the array size are also analyzed.