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One of the key problems in a vision-based gesture recognition system is the extraction of spatial-temporal features of gesturing.In this paper an approach of motion-based segmentation is proposed to realize this task.The direct method cooperated with the robust M-estimator to estimate the affine parameters of gesturing motion is used, and based on the dominant motion model the gesturing region is extracted, i.e.,the dominant object. So the spatial-temporal features of gestures can be extracted. Finally, the dynamic time warping (DTW) method is directly used to perform matching of 12 control gestures (6 fortranslationorders,6 forrotationorders).A small demonstration system has been set up to verify the method, in which a panorama image viewer can be controlled (set by mosaicing a sequence of standardGardenimages) with recognized gestures instead of the 3-D mouse tool.