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多特征融合的Camshift算法及其进一步改进
引用本文:林建华,刘党辉,邵显奎.多特征融合的Camshift算法及其进一步改进[J].计算机应用,2012(10):2814-2816,2820.
作者姓名:林建华  刘党辉  邵显奎
作者单位:装备学院航天装备系
摘    要:基于颜色核的Camshift算法可以有效实现简单场景下的目标跟踪,但在光线变化明显或目标与背景颜色相近的场景下易受干扰。为此,采用颜色、边缘梯度、纹理等多个特征自适应融合的方式改进算法,提高算法应对光线变化的能力;并通过修正特征直方图、设置合理搜索范围对算法进行进一步改进,解决相似背景的干扰问题。实验结果显示,在光照变化明显或目标与背景特征相近的场景中,改进的算法与传统算法相比具有更高的跟踪精度。

关 键 词:目标跟踪  Camshift算法  多特征融合  特征直方图  纹理特征

Multi-feature fusion Camshift algorithm and its further improvement
LIN Jian-hua,LIU Dang-hui,SHAO Xian-kui.Multi-feature fusion Camshift algorithm and its further improvement[J].journal of Computer Applications,2012(10):2814-2816,2820.
Authors:LIN Jian-hua  LIU Dang-hui  SHAO Xian-kui
Institution:(Department of Aerospace Equipment,Institute of Equipment,Beijing 101416,China)
Abstract:The Camshift algorithm based on color-kernel can effectively track objects in a simple background,but it is easy to be interfered by illumination variation or the similar color object in the background.To improve the algorithm’s ability to respond to illumination variation,a multi-feature adaptive fusion scheme based on color,shape and texture was proposed.And further improvements have been proposed through modifying feature histogram and setting a reasonable search region to solve the problem of similar background.The experimental results show that the improved algorithm has higher tracking accuracy than traditional algorithm in the scene with illumination variation or similar background.
Keywords:object tracking  Camshift algorithm  multi-feature fusion  feature histogram  texture feature
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