Video Image Enhancement and Object Tracking

Abstract

To develop the real world computer vision system, detection of moving objects in video images is very important. The automatic detection of moving objects in video images is very important. The automatic detection of moving objects in monitoring system needs efficient algorithms. The common method is simple background subtraction i.e to subtract current image from background. But it can’t detect the difference when brightness difference between moving objects and background is small. The other approach is to use some algorithms such as color based subtraction technique but the costs are very high and have problem in stability. Here a method is proposed to detect moving objects using difference of two consecutive frames. The objective is to provide a software that can be used on a pc for performing tracking along with video enhancement using bilinear interpolation. The program is able to track moving objects and it is structured as different blocks working together. Initially the spatial resolution and the contrast of the extracted frames of the video sequence are enhanced. The position of the object is now marked manually so as to obtain the “Region of Interest”. The algorithm is implemented in MATLAB and the results demonstrate that both the accuracy and processing speed are very promising. Furthermore, the algorithm is robust to the changes of lighting condition and camera noise. The algorithm can be used in video based applications such as automatic video surveillance.