计算机与数字工程2019，Vol.47Issue(12)：3015-3019,3024,6.DOI:10. 3969/j. issn. 1672-9722. 2019. 12. 015
联合时空上下文和反稀疏模型的目标跟踪方法
Object Tracking Method via Spatio-Temporal Context and Inverse Sparse Model
摘要
Abstract
Aiming at the low accuracy problem in tracking methods based on the inverse sparse representation,an improved tracking method combining the spatio-temporal context with the inverse sparse representation is proposed. First of all,the partial fil?ter method is used to generate candidates with the object template. Then,spatio-temporal context confidence is adopted to optimize the candidates. Finally,tracking result is gotten by the inverse sparse representation with the candidates and target template. The ex?periment results validate the proposed method's performance.关键词
目标跟踪/反稀疏模型/时空上下文/粒子滤波Key words
object tracking/inverse sparse model/spatio-temporal context/particle filter分类
信息技术与安全科学引用本文复制引用
赵俊齐,伍海龙,刘婕,刘朝荣..联合时空上下文和反稀疏模型的目标跟踪方法[J].计算机与数字工程,2019,47(12):3015-3019,3024,6.基金项目
国家自然科学基金项目(编号:61461028) （编号:61461028）
甘肃省自然科学基金计划(编号:1508RJZA092)资助. （编号:1508RJZA092）
