AIRCC's International Journal of Computer Science and Information Technology

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Infrared (IR)-based human detection research has received much attention within the research community in recent years. Recently, for industrial applications, infrared (IR) sensors have been applied to human detection in vehicle safety, night-vision, and military applications. They directly detect targets with warm temperatures in the image, providing a potentially simpler and quicker solution to human detection, especially during nighttime. This paper report a project of developing a pedestrian detection system in urban environments implemented with a Matlab on a laptop platform interfaced with a low-end microcontroller. This system primarily focuses on digital, infrared imagery and pedestrian candidate selection and detection using available detection algorithms, and on simple, economical implementation which is possible through the direct interfacing between the algorithm in Matlab and low-end external hardware for indication of the detection result.

Keywords

IR-Camera, Embedded Computing, Pedestrian Detection, Infrared Imagery, Human Cadidiate Selection, Microcontrooler.
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