Real time implementation on moving object tracking and recognisation using Matlab

This paper implements a method to track and recognize the object in a surveillance area. We analyze usual pixel-approach. Camera system (webcam) acts as a sensor to track the object in an surveillance area. Edge detection is an image segmentation process is implemented to have clear knowledge on real edges of real time video. Background separation algorithm provides clear knowledge about foreground and background. Video preprocessing such as frame separation, thresholding, binary operation, histogram equalization and edge detection of traffic video is done to track multiple objects and recognize it. Stepper motor may be used to orient the camera to any position to track and recognize object in surveillance. Contourlet transform is used for feature extraction to recognize the object in a surveillance area and pattern matching also play an important role to recognize different objects in a video.