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Seamless object tracking in wide area is an important and yet challenging issue of intelligent visual surveillance multi-camera collaboration tracking approach has been becoming attractive. In this work, a flexible and integrated system is constructed for object tracking using multiple cameras either with overlapping fields of views (FOVs), non-overlapping FOVs or mixed configurations for wide areas surveillance. The Kalman filter is applied for object tracking in a single camera and object motion prediction is implemented across blind regions for non-overlapping FOVs. Furthermore, a client and server architecture is constituted using TCP/IP network. The FOV lines are used to guide camera switching. In addition, we integrate various features for object matching. Finally, this system can track objects in a wide area no matter the FOVs are overlapping, non-overlapping or mixed situations.