Fast Adaptive Tracking Based on Fusion Particle Filter Algorithm

摘要：

　　To lock and track the target quickly,a novel fast target tracking algorithm is proposed,which combines adaptive scale Harris corner detection target,SIFT adaptive matching target and particle filter algorithm.This algorithm can extract highly discriminant features of the target adaptively,and make the feature pair rotate and scale zoom.The brightness change can keep invariance,and maintain a certain degree of stability for affine transformation,angle change and noise.It can also recognize targets well in the case of confusion and occlusion.The simulation results show that the algorithm can still accurately identify and track targets under multiple external disturbances,and has certain application value.

关键词： Particle filter Adaptive tracking Harris SIFT

作者: Jubao Qu Hongtao Liang

作者单位: School of mathematics and computer,Wuyi University Wuyishan,Fujian,China School of mathematics and computer,Wuyi University,Wuyishan,Fujian,China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics (MEIMIE 2019)2019年第二届机械工程、工业材料和工业电子国际会议(Meimie 2019)

会议地点: 大连

会议语种:英文

页码: 1-7

在线出版日期: 2019-03-29（万方平台首次上网日期，不代表论文的发表时间）