A comparison of visual target tracking methods in noisy environments

Motion detection and tracking are useful in computer vision. This work represents a comparison of several methods for target tracking in noisy environments using motion-energy and template location based approaches. In order to remove the registration noise, a morphological filter has been adopted. Since the scale and rotation of the target change, a template update method has been used. The performance of different methods to compare their respective speed and accuracy have been evaluated and the results obtained are presented.