西安电子科技大学学报（自然科学版）2018，Vol.45Issue(3)：13-17,168,6.DOI:10.3969/j.issn.1001-2400.2018.03.003
在线判别式超像素跟踪算法
Online discriminant based superpixel tracking method
摘要
Abstract
In order to solve the problems of slow modeling speed and target occlusion easy drift of the traditional superpixel tracking method,a new target tracking method is proposed.The new proposed method uses superpixel segmentation to obtain a large number of target foreground and backgroundsuperpixel training data.By training the extreme learning machine and combining with the k-d tree clustering we can obtain a discriminant model of the target and background discriminant model quickly.In the tracking process,the constructed modeland the particle filter are used to estimate the target center position.Finally,the target scale information is estimated by correlation filtering to achieve the robustness tracking of the target. Experimental results show that the proposed algorithm has a reliable tracking accuracy and a fast tracking speed.关键词
目标跟踪/超像素/超限学习机/相关滤波Key words
target tracking/superpixel/extreme learning machine/correlation methods分类
信息技术与安全科学引用本文复制引用
刘雨情,肖嵩,李磊..在线判别式超像素跟踪算法[J].西安电子科技大学学报（自然科学版）,2018,45(3):13-17,168,6.基金项目
国家自然科学基金资助项目(61372069) （61372069）
高等学校学科创新引智计划(111 计划)资助项目(B08038) （111 计划）
