Summary: We have proposed and presented a method for object tracking in video that exploits new tight frame of curvelets. We constructed a method of tracking that provides a sparse expansion for typical images having smooth contours. We used curvelet coefficients to segment and tracking of object in the sequence of frames. Results obtained for tracking of moving objects in video clips demonstrated an improved performance over other recent related methods available in the literature.