基于动态捕获区域的DC-TLD目标跟踪算法

TLD target tracking algorithm based on dynamic capture

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.