计算机工程与应用2018，Vol.54Issue(4)：185-191,7.DOI:10.3778/j.issn.1002-8331.1609-0155
基于图像分类与多算法协作的目标跟踪算法
Target tracking algorithm with multiple algorithms in collaboration based on image classification
摘要
Abstract
As for target and background changes,this paper proposes a target tracking algorithm with scale and orienta-tion adaptive mean shift tracking with corrected background-weighted histogram algorithms and fast compression tracking algorithms in collaboration based on image classification.According to the difference of the image changes,the algorithm classifies the images into two categories,global changes and target local interest area changes.Global changes caused by lighting,background similar and background blur,it uses BW-SOAMS algorithm for target tracking.Local area of interest changes caused by size,rotate and occlusion,it uses CT algorithm for target tracking.Firstly,images are done preprocess-ing and classification,and then the appropriate track drift problems are caused by changes in the environment.By experi-ments,the algorithm has improved significantly in precision and efficiency.关键词
图像分类/鲁棒性/多算法协作/局部感兴趣区域/全局变化Key words
image classification/robustness/algorithms collaboration/local area of interest/global changes分类
信息技术与安全科学引用本文复制引用
郑浩,董明利,潘志康..基于图像分类与多算法协作的目标跟踪算法[J].计算机工程与应用,2018,54(4):185-191,7.基金项目
国家高技术研究发展计划(863)(No.2015AA042308) （863）
北京市属高等学校创新团队建设项目(No.IDHT20130518) （No.IDHT20130518）
教育部"长江学者与创新团队"发展计划(No.IRT1212). （No.IRT1212）
