Arming at the video object-extracted issue, video object segmentation algorithm is proposed based on marker multi-measure watershed. First, based on the frame difference detection, the initial motion object binary model is obtained by improved minimum Tsallis-cross entropy and morphologic managed. Second, markers of foreground and background for watershed are derived from temporal information, which is used to modify morphological gradient image. Third, watershed segmentation is used to acquire video object with precise boundary. Experimental results show that the proposed algorithm can segment and extract the single, multiple and fast motion object of the video sequence effectively. It has the virtue of low complexity inherited from change detection and watershed and overcomes the defect that it is easy to engender the excessive segmentations of the watershed algorithm, so it has a high adaptability.