摘要
针对目标跟踪中存在的跟踪错误恢复问题,参照ASMM记忆模型,提出了基于记忆模型的模板更新策略及相应的核化相关滤波目标跟踪算法。实验结果表明,对于遮挡或其他外观变化引起的跟踪失败,基于记忆模型的核化相关滤波目标跟踪算法有恢复跟踪的作用。
Based on the kernelized correlation filter tracking technology,human visual tracking method and memory mechanism of the human brain,the correlation filtering tracking updating strategy based on the ASMM memory model,has been proposed,coupled with tracking algorithm.The experimental results show that kernelized correlation filter tracking algorithm based on memory model has the ability of recovering from tracking failure caused by occlusion and appearance changes.
作者
徐曼
田秀霞
XU Man;TIAN Xiuxia(School of Computer Science and Technology,Shanghai University of Electric Power,Shanghai200090,China)
出处
《上海电力大学学报》
CAS
2020年第4期313-319,共7页
Journal of Shanghai University of Electric Power
基金
国家自然科学基金面上项目(61772327)
国家自然科学基金重点项目(61532021)
国网甘肃省电力公司电力科学研究院横向项目(H2019-275)。
关键词
目标跟踪
相关滤波
记忆模型
模板更新
object tracking
correlation filter
memory model
template update