Active vision sensors have been widely used in surveillance domain bec ause of their ability to obtain multi-view -angle and multi-resolution information.Aiming at the application of visual s urveillance in large field of view (FOV),a novel collaborative object tracking algorithm for binocular active vision sensors base d on spherical coordinate model is proposed. Firstly,the feature matching based method is applied to calculate the intrinsic parameters of each camera.Then,the spherical longitude and colatitude coordinates are introduced to construct commo n coordinate system for the binocular sensors.Finally,the cooperative object tracking can be realized using the dept h range of surveillance scene.Furthermore,a novel procedure has also been developed to establish common spherical coordinate system for arbitrary installation of binocular sensors.The proposed method is independent of the parameters of activ e sensors,which can help to achieve cooperative tracking at arbitrary parameter values.Experiments are conducted in real surveillance environment and extensive results demonstrate the effectiveness and practicability of the proposed method.The proposed method can be used in visual surveillance with wide application prospect.