利用局部特征联合匹配的非刚体目标跟踪

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．

Non-rigid object tracking using joint matching of local features

To the problem of non-rigid object 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 object 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 object'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 object’s non-rigid deformation, and can cope with the complex background change to obtain a stable tracking result.