Detecting and tracking moving objects in real time images via active camera

In this work, moving objects tracking methods in real-time images have been examined and emphasized on active camera hardware and software. An integrated system has been build together with moving objects detecting and tracking methods, noise reduction and active camera which includes pan/tilt servo motors. Moving object tracking process is achieved by adaptation of frame difference technique on two new approaches. These approaches are namely: delayed frame difference and edge detected frame difference approaches. Frame difference processes for moving object detection are accomplished after a specific delay for the first approach and after the edge detection and matching processes for the second approach. Lastly a performance analysis has been performed on moving object tracking considering the delayed frame difference and the corner detected frame difference approaches, and the results are compared.