运动目标跟踪领域的研究常用颜色直方图作为统计特征, 效果良好但也具有易受光照变化影响等缺点, 运用模糊颜色直方图的跟踪方法能解决以上问题. 针对传统模糊聚类方法中的不足之处, 提出了基于RSA-FCM算法的运动目标跟踪算法, 即在模糊聚类过程中使用随机采样策略确定聚类初值, 同时运用自适应模糊聚类模型进行运算, 提高了跟踪的速度和精度. 实验对比表明, 本文提出的算法在运动目标跟踪准确性和实时性较传统算法都有改进.
The research on tracking moving objects commonly uses color histogram as the main statistical characteristic which has a good result but is also vulnerable to illumination changes. The fuzzy color histogram in tracking can solve the above problems. Since fuzzy clustering has some inherent disadvantages, RSA-FCM algorithm was proposed to track moving objects, which used random sampling strategy in fuzzy clustering. Meanwhile, the proposed tracking method based on the adaptive fuzzy clustering model improved tracking accuracy. The experimental comparisons show that this algorithm behaves better than traditional method both on tracking accuracy and real-time performance.