CAJ | 학술논문

为了更逼真地从视频图像序列中实现三维人体骨架动画形式的提取，以便进一步地对人体运动进行分析与研究，提出了一种基于多视角视频的运动重建的方法。该方法充分利用了标记点的信息，其核心步骤有标定摄像机，提取标记点，跟踪标记点和人体运动三维重建四个主要方面。其中，在跟踪标记点时，使用了基于多视觉的目标跟踪算法，该算法由结合了扩展卡尔曼滤波预测与标记点轨迹平滑性约束所构成的双目立体视觉跟踪与多目视觉数据融合两个方面。实验结果证明了所提方法的有效性与可行性。
위료경핍진지종시빈도상서렬중실현삼유인체골가동화형식적제취，이편진일보지대인체운동진행분석여연구，제출료일충기우다시각시빈적운동중건적방법。해방법충분이용료표기점적신식，기핵심보취유표정섭상궤，제취표기점，근종표기점화인체운동삼유중건사개주요방면。기중，재근종표기점시，사용료기우다시각적목표근종산법，해산법유결합료확전잡이만려파예측여표기점궤적평활성약속소구성적쌍목입체시각근종여다목시각수거융합량개방면。실험결과증명료소제방법적유효성여가행성。
In order to realistically realize 3D human skeleton animation from image sequences of video,for the purpose of researching and analyzing human movement further,a method of human reconstruction based on multi-view is presented. The method makes full use of the markers' information,of which the key technologies include camera calibration,markers extraction,markers tracking and human mo-tion 3D reconstruction. In the procedure of tracking markers,propose a novel multi-view tracking algorithm. This algorithm is made up of two steps,one is binocular stereo vision tracking which combines the Extended Kalman Filter with the smooth of markers' trajectory,and another is multi-view data fusion. The effectiveness and feasibility of this method is verified by experiments.