基于特征融合的改进Camshift算法研究  

Research on Improved Camshift Algorithm Based on Feature-Certificate Fusion

作　　者：付振兴 陈佩江[1] FU Zhenxing;CHEN Peijiang(Linyi University,Linyi 276002)

机构地区：[1]临沂大学,临沂276002

出　　处：《计算机与数字工程》2024年第10期2869-2871,共3页Computer & Digital Engineering

基　　金：山东省高等学校科技计划(编号:J16LB69)资助。

摘　　要：针对传统的Camshift算法仅依赖于颜色特征信息,而在面临复杂背景与尺度变化情况下跟踪效果不佳的问题,提出了一种基于特征融合的改进Camshift算法。改进算法首先将HSV颜色空间中的色度与饱和度分量联合生成模板,然后与方向梯度直方图特征自适应融合,为检测跟踪提供更多的特征信息,最后引入尺度自适应来提高算法对尺度变化时的适应能力。文章采用国际常用数据集进行测试,并与改进前算法进行比较,结果显示跟踪效果较好,并比传统算法有明显优势。Aiming at the problems that the traditional Camshift algorithm only depends on the color feature information,the tracking effect is not good in the face of complex background and scale changes,an improved Camshift algorithm based on feature fu-sion is proposed.The algorithm first combines the chromaticity and saturation components in the HSV color space to generate a tem-plate,and then adaptively fuses with directional gradient histogram features to provide more feature information for detection and tracking.Finally,scale adaptation is introduced to improve the adaptability of the algorithm to scale changes.The international com-monly used data sets are tested and compared with the improved algorithm,the results show that the tracking effect is better,and has obvious advantages over the traditional algorithm.

关 键 词：CAMSHIFT算法 特征融合 尺度自适应 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]