Dual camera systems (omnidirectional and slaved PTZ cameras) are widely used in public area monitoring and target tracking. However, due to their low and non-uniform resolution, omnidirectional cameras are only able to provide moderate accuracy in both motion/target detection and tracking. To overcome this disadvantage, two methods are proposed: geometry mapping based on a polynomial imaging model and closed loop cooperative tracking. Using a unified polynomial approximation [1], the geometry relationship between the omnidirectional and PTZ cameras can be formulated in a general solution from camera calibration with a fully automated model selection. Distributed Kalman filters are developed to exchange estimated trajectories among cameras forming closed loop sub-systems for individual cameras. The effectiveness of the proposed algorithms is illustrated via experiments and comparisons with existing systems.
Yi Yao, Besma R. Abidi, Mongi A. Abidi