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An IR-Based Pedestrian Detection System Implemented with Matlab-Equipped Laptop and Low-Cost Microcontroller


Affiliations
1 Department of Electrical and Computer Engineering, Howard University, Washington, DC, United States
 

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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  • An IR-Based Pedestrian Detection System Implemented with Matlab-Equipped Laptop and Low-Cost Microcontroller

Abstract Views: 229  |  PDF Views: 129

Authors

Erwin Thomas Gilmore
Department of Electrical and Computer Engineering, Howard University, Washington, DC, United States
Chukwunweike Ugbome
Department of Electrical and Computer Engineering, Howard University, Washington, DC, United States
Charles Kim
Department of Electrical and Computer Engineering, Howard University, Washington, DC, United States

Abstract


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.