计算机科学 ›› 2017, Vol. 44 ›› Issue (4): 306-311.doi: 10.11896/j.issn.1002-137X.2017.04.062
邹青志,黄山
ZOU Qing-zhi and HUANG Shan
摘要： 提出一种使用改进型LTP特征与颜色特征融合的均值漂移(Mean Shift)目标跟踪算法,该算法解决了均值漂移目标跟踪算法在变化的光强场景下跟踪难的问题。首先针对LTP模式过多的问题引入旋转不变的LTP模式,然后提出动态计算LTP算子阈值的方法,之后将改进的LTP特征与颜色特征通过自适应函数融合起来并嵌入均值漂移算法中。在变光强场景下与传统目标跟踪算法相比较,此算法跟踪结果明显优于其他算法,且鲁棒性较好。
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