CAJ | 학술논문

针对视频序列中非刚体目标的跟踪问题，提出了基于局部特征联合匹配的快速跟踪算法。算法将基于关键点的特征匹配问题转化为求解平衡指派的最优化问题，进而依据整体匹配最优的原则实现特征的联合匹配。跟踪过程为：首先分别提取目标模板和当前搜索区域的局部关键点并进行特征描述；然后依据联合匹配策略确定目标模板关键点在输入帧图像中的匹配结果；最后依据匹配结果确定目标在输入帧图像中的位置和尺度。实验结果表明，该算法对目标的非刚性形变具有较强的鲁棒性，能够适应复杂的背景变化并获得稳定的跟踪结果。
침대시빈서렬중비강체목표적근종문제，제출료기우국부특정연합필배적쾌속근종산법。산법장기우관건점적특정필배문제전화위구해평형지파적최우화문제，진이의거정체필배최우적원칙실현특정적연합필배。근종과정위：수선분별제취목표모판화당전수색구역적국부관건점병진행특정묘술；연후의거연합필배책략학정목표모판관건점재수입정도상중적필배결과；최후의거필배결과학정목표재수입정도상중적위치화척도。실험결과표명，해산법대목표적비강성형변구유교강적로봉성，능구괄응복잡적배경변화병획득은정적근종결과。
To the problem of non-rigid obj ect tracking in video sequence,an efficient tracking algorithm based on joint matching of local features is proposed.The feature matching problem based on key points is translated into the optimization problem of balance assignment,and completed via joint matching of features under the maximization of holistic similarity.The tracking process is as follows.Firstly,local key points of the obj ect template and current searching area are detected and described using the information on their neighborhoods.Then,the key points are marched via the proposed joint matching strategy,and the right matching pairs are picked out. Finally, the obj ect’s location and size are calculated according to the matching results,and the tracking result of the current frame is outputted.Experimental results indicate that the proposed algorithm is robust to obj ect”s non-rigid deformation,and can cope with the complex background change to obtain a stable tracking result.