Title :
Motion detection using periodic background estimation subtraction method
Author :
Shazali, S. T Syed ; Cheong, W.L. ; Mohamaddan, S. ; Kamaruddin, A. M N Abg ; Yassin, A. ; Case, K.
Author_Institution :
Dept. of Mech. & Manuf. Eng., Univ. Malaysia Sarawak (UNIMAS), Kota Samarahan, Malaysia
Abstract :
This paper proposed a motion detection system using periodic background estimation subtraction method for outdoor illumination condition using MATLAB. The proposed method is robust to illumination change effect, change in background and noise. The method basically used background subtraction. The background image is estimated at every 0.8 second when the sum of absolute difference (SAD) is less than the motion threshold. The input image is luminance normalize before background subtraction. The results were converted into binary image by autothreshold and enhanced the results with dilation and erosion. Blobs were created for each motion objects. Experiment results of using background image estimated by periodic background estimation demonstrate their robustness and effectiveness in background subtraction for real world scene.
Keywords :
image enhancement; image segmentation; mathematics computing; motion estimation; MATLAB; background image; binary image; illumination change effect; motion detection; motion threshold; outdoor illumination condition; periodic background estimation subtraction method; sum of absolute difference; Estimation; Image segmentation; Lighting; Motion detection; Motion segmentation; Noise; Robustness; luminance normalize; motion detection; motion threshold; periodic background estimation; sum of absolute difference;
Conference_Titel :
Information Technology in Asia (CITA 11), 2011 7th International Conference on
Conference_Location :
Kuching, Sarawak
Print_ISBN :
978-1-61284-128-1
Electronic_ISBN :
978-1-61284-130-4
DOI :
10.1109/CITA.2011.5999523