计算机与数字工程2024，Vol.52Issue(10)：2869-2871,3.DOI:10.3969/j.issn.1672-9722.2024.10.003
基于特征融合的改进Camshift算法研究
Research on Improved Camshift Algorithm Based on Feature-Certificate Fusion
摘要
Abstract
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Key words
Camshift algorithm/feature fusion/scale adaptation分类
信息技术与安全科学引用本文复制引用
付振兴,陈佩江..基于特征融合的改进Camshift算法研究[J].计算机与数字工程,2024,52(10):2869-2871,3.基金项目
山东省高等学校科技计划(编号:J16LB69)资助. （编号:J16LB69）
