APPLYING EDGE DENSITY BASED REGION GROWING WITH FRAME DIFFERENCE FOR DETECTING MOVING OBJECTS IN VIDEO SURVEILLANCE SYSTEMS

Detecting moving object is the key step in Video based Surveillance Systems. This paper presents a unique approach for detecting moving object from a video sequence based on edge detection and Edge Density Based Region Growing. To start with the video sequence is sub-divided into its constituent frames. The method proceeds by considering two consecutive frames at time intervals (t-1) and t. Then after we use Sobel’s operator to detect the edges present in respective frames. Detecting edges helps in estimating the object boundaries. After this we perform frame difference which eliminates most of the edges belonging to background. To highlight the regions containing the moving object we apply Edge Density Based Region Growing algorithm on the edge difference image. At last using Connected Component Analysis and Morphological Opening we extract the exact moving object. Experimental results show that the method is robust enough to detect the moving objects with complex backgrounds