In order to meet the needs of moving object location in different video sequences, a novel moving object location method was proposed. Subtractive clustering algorithm was used for object location in video sequences. The theory of subtractive clustering algorithm was analyzed. Equations of subtractive clustering algorithm, software flowchart and realization steps of proposed method were presented. Different location results for different video sequences were studied. Subtractive clustering location algorithm was also compared with region growing location method. The location order, time consuming and its robustness against blob noises of the proposed method were discussed. Experiment results show that the proposed algorithm is fit for video sequences whose binary images have big noise blobs and bad spatial connectivity.