华中科技大学学报（自然科学版）2013，Vol.41Issue(7)：76-81,6.
Adaboost检测和混合粒子滤波融合的多目标跟踪
Multi-target tracking of Adaboost detection combining with hybrid particle filtering
摘要
Abstract
To reduce the uncertainties of multi-target tracking,a hybrid particle filter method was proposed.The interconnection was realized among particles through the calculation of hybrid weights,which could effectively maintain and deal with multi-mode problems.Secondly,in order to improve the mul-targets tracking processing ability of the algorithm when the number of multi-target changed,the Adaboost detection algorithm was integrated into hybrid filter tracking algorithm.Likelihood function was constructed through hybrid measurement model which was merged between the dynamic model and Adaboost detection.Then a tracking system to learn,detect and track interesting target was realized.Finally,the algorithm was tested in multi-target video sequence of a rigid,non-rigid and number-changing.The experiment shows that the algorithm can effectively track multi-targets changing in numbers.关键词
图像处理/多目标/跟踪/混合粒子滤波/Adaboost检测Key words
image processing/ muti-target/ tracking/ hybrid particle filtering/ Adaboost detection分类
信息技术与安全科学引用本文复制引用
初红霞,秦进平,谢忠玉,张荣沂..Adaboost检测和混合粒子滤波融合的多目标跟踪[J].华中科技大学学报（自然科学版）,2013,41(7):76-81,6.基金项目
黑龙江省教育厅科学技术研究项目(12531528) （12531528）
黑龙江省自然科学基金资助项目(QC2011C060) （QC2011C060）
黑龙江工程学院博士科学研究基金资助项目(2012BJ20). （2012BJ20）
