This paper presents a new method for seamless tracking a moving object by using multiple fixed cameras controlled by a single processor. For seamless tracking a moving object with multiple cameras, we should extract important features of the object from input images captured by multiple cameras. Because two adjacent cameras, in general, have different parameters, such as: zooming ratio, color distribution, and direction of view, we use the color information of overlapped region and feature vector, such as object's ratio and moving direction. We first investigate the distribution of color component in the overlapped region. We then use the results to discriminate the target object and to hand over the current view. Experimental results show the feasibility of the proposed seamless tracking method and its real-time applications.