Airport surface target tracking method based on improved ViBe algorithm and Camshift

To effectively solve the problem that tracking target is easy to lose due to the change of illumination, shadow, distant and small moving target in real-time airport surface video surveillance system, airport surface target tracking method based on improved ViBe algorithm and Camshift is proposed. Firstly, three-frame difference and ViBe algorithm is used to obtain foreground target to eliminate the interference of ghosts. Moreover, the chroma and gradient features is used to restrain shadow. Moreover, the differential information of ViBe is integrated into Camshift algorithm and the Kalman filter is combined to predict the state of moving target. Finally, moving target is tracked reliably in airport surface video surveillance scene. The experiment on aircraft at typical airport shows that the proposed method can not only track moving targets steadily and accurately, but also be applied in the low visibility conditions.