Abstract—The comparison of human motion detection between images from thermal and ordinary camera is developed to track object motion in video using background subtraction technique. The purpose of this application is to generate technology development of the video sequence field and closed to all technology toward of fast growth. The User Interface (GUI) programming development is to aid user to use the system and understanding the system hierarchy. GUI is the medium between user and system. The process that used to develop this system is such as image differential technique, morphology process and plotting process. The analyzed scene involved video recording of the human dynamic motion. Motion detection analysis is done using the sum of absolute difference algorithm within each image frame. Morphology processes are needed to eliminate noise to obtain a more accurate foreground object image. Results obtain thus far clearly indicate that the developed algorithm achieves its objective and successfully compared the detection of the motion object between thermal and ordinary camera.

Index Terms—infrared, thermal image processing, background subtraction algorithm-based approach

Cite: Suzaimah Ramli, Siti Nurhana Abd Wahab, Nor Ayuni Baharon, and Norulzahrah Mohd Zainudin, "Comparison of Human Motion Detection Between Thermal and Ordinary Images," Journal of Image and Graphics, Vol. 2, No. 2, pp.140-144, December 2014. doi: 10.12720/joig.2.2.140-144