Color Thresholding Techniques Performance for Night Vision Surveillance Using Thermal Imaging

Noor Amira Syuhada Mahamad Salleh (Universiti Malaysia Pahang, Faculty of Electrical and Electronics Engineering, Pahang Darul Makmur)
Kamarul Hawari Ghazali (Universiti Malaysia Pahang, Faculty of Electrical and Electronics Engineering, Pahang Darul Makmur)
Fatin Izzwani Azman (Universiti Malaysia Pahang, Faculty of Electrical and Electronics Engineering, Pahang Darul Makmur)

Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 1: EECSI 2014

Visible surveillance is commonly an active research worldwide. The need of surveillance allows thermal imaging to participate in this study activity. The drawback of visible surveillance for night monitoring is overcome by the technology of the thermal imaging. To achieve the goal of the surveillance system , the works on detection must be very efficient to do the detection Throughout this research , we developed an algorithm involving thresholding technique for subject detection using thermal image to find the for night surveillance system.