为提升TLD 目标跟踪算法的处理速度，以达到在更高分辨率视频中跟踪目标的实时性要求，在TLD 算法框架的基础上，提出了一种基于动态捕获区域的TLD 目标跟踪算法(DC-TLD)。算法采用前一帧目标位置作为当前帧目标位置的预测值，减小了目标位置的预测误差。研究了检测区域负样本出现需满足的条件，分析了检测区域大小对算法鲁棒性的影响。针对样本的访问方式，提出基于索引的访问方法，极大地减少了访问时间。实验结果表明，该方法不仅有效降低了TLD 算法的样本检测时间，而且提高了算法的鲁棒性。

In order to improve the ability of processing video image with high frame rate and meet the real-time requirement in higher resolution video tracking goal, DC-TLD target tracking algorithm, which is based on TLD algorithm and the theory of capturing sample dynamically, is proposed. Firstly, DC-TLD takes the target location of the previous frame as the predicted value of the current frame. Secondly, it calculates the threshold r of negative samples for ensuring that the number of negative samples is sufficient. Thirdly, it accesses the samples by index. The results of experiments show that DC-TLD is more robust and more efficient.