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Generally there are many cameras in wireless camera networks, and we need to calibrate the intrinsic parameters of each camera and the geometry of camera networks in 3D space so that the cameras in networks can cooperate orderly. But it is tedious and difficult work to calibrate so many cameras online. We developed an automatic calibration approach to calibrate the extrinsic parameters between different cameras. Our method only needs to track the motion of objects in each camera from image sequences without the correspondence between different cameras. It avoids the difficulty of the correspondence between different cameras in real networks. Experiments with simulated data and real images are carried out to verify the theoretical correctness and numerical robustness of our results.