现代电子技术2016，Vol.39Issue(17)：1-5,11,6.DOI:10.16652/j.issn.1004-373x.2016.17.001
混合特征匹配结合Viterbi数据关联的目标跟踪算法
Target tracking algorithm combining hybrid feature matching with Viterbi data association
摘要
Abstract
The tracking effect of the traditional tracking algorithms is poor due to the low video resolution,blurred frame image or heavy noise. To solve the above problems,a target tracking algorithm combining hybrid feature matching with Viterbi data association is proposed. The histogram back⁃projection technology is used to effectively segment the target edge in local bi⁃threshold image to overcome the problem of low contrast. The neighborhood feature,regional feature,movement direction feature and histogram feature are taken as the target characterization features to establish the cost function of hybrid feature. The Viterbi data association is used to calculate the sum of cost function to obtain the most similar target. The experimental results show that,in the condition of blurred frame image or heavy noise,the proposed algorithm has stable and effective target tracking,the accuracy rate of single target tracking is 0.89,the accuracy rate of multi⁃target tracking is 0.975,the recall rate is 0.920,and the algorithm is superior to other similar tracking algorithms.关键词
分割跟踪/混合特征匹配/双局部阈值/直方图反向投影/Viterbi数据关联Key words
segmentation tracking/hybrid feature matching/local bi-threshold/histogram back projection/Viterbi data as-sociation分类
信息技术与安全科学引用本文复制引用
徐燕华,李荣,王华君,徐平平..混合特征匹配结合Viterbi数据关联的目标跟踪算法[J].现代电子技术,2016,39(17):1-5,11,6.基金项目
国家自然科学基金资助项目（61375028）；江苏省高校自然科学研究项目 （）
