Automatic tracking of aerial targets using digital image processing

Automatic tracking systems of flying targets play a key role in the battle field. Nowadays, vision sensors have attracted wide attention due to their outstanding features such as being cheap, passive, and their resistant to jamming in comparison to expensive radar-based tracking system which prone to jamming. In this paper, a system is considered and designed for automatic tracking of flying targets using segmentation and digital image processing. In the first section, images of flying targets are proceed using color image segmentation algorithm through Kmeans and FCM clustering techniques and then desired target is detected. In following, edges of images are detected using Prewitt algorithm and then desired object is identified and tracked. Visual results of developed techniques are similar and have sufficient accuracy but, speed of automatic tracking using edge detection is higher in comparison to color image segmentation and so its performance in battle field and online tracking of flying targets is preferred.