CAJ | 학술논문

提出了一种融合时域和空域信息的方法,用于从视频序列中分割出运动物体. 该方法是在分割过程中通过区域捆绑逐步融合时域和空域信息,而不是在时域分割结束之后再融合空域信息. 分布式地表达分割物体并刻画其特征是区域捆绑的主要特征. 本文的方法首先通过早期分割得到许多小区域,然后将这些小区域捆绑成一些捆绑核,再将剩下的区域通过强或弱的规则捆绑到相邻的捆绑核,从而实现目标区域的分割. 实验结果显示了该方法的良好性能.
제출료일충융합시역화공역신식적방법,용우종시빈서렬중분할출운동물체. 해방법시재분할과정중통과구역곤방축보융합시역화공역신식,이불시재시역분할결속지후재융합공역신식. 분포식지표체분할물체병각화기특정시구역곤방적주요특정. 본문적방법수선통과조기분할득도허다소구역,연후장저사소구역곤방성일사곤방핵,재장잉하적구역통과강혹약적규칙곤방도상린적곤방핵,종이실현목표구역적분할. 실험결과현시료해방법적량호성능.
A novel approach based on spatial-temporal information fusion is proposed to segment moving objects in video sequences. In the proposed approach, temporal and spatial information are integrated gradually by a region binding process during the segmentation, which is different to the process of combining temporal and spatial segmentation results. The significance of the proposed region binding algorithm is that regions are represented and characterized distributively. In the first stage of the proposed approach, current frame is segmented into many small regions primitively. Then, these small regions are bound to form the Binding-CCores (BC). Finally, the rest regions are bound to their neighboring BCs under strong or weak rules to get the final object regions. Experimental result demonstrated the performance of the approach.