Effective motion detection mechanism for security system with automatic sensitivity detection using edge detection and brightness filter

Abstract

Motion detection is a popular detection method for security system especially in real time streaming video, which relies on the high speed computation. Edge detection algorithm is applied in the motion detection to reduce the error rates by limited grey levels pixel values of each frame. Those values are vitally important to identify edges. To increase the variation of grey level, we introduce a brightness filter for enhancing the edge detection. Experimental results illustrate that the effectiveness of edge detection using brightness filter outperform the traditional one. Beside, noise is another problem which affects the accuracy of motion detection. We propose another algorithm namely Automatic Sensitivity Detection (ASD) with Mean filter to raise the accuracy of motion detection. It automatically calculates and records the ideal sensitivity values of each frame.