现代电子技术2018，Vol.41Issue(6)：37-40,44,5.DOI:10.16652/j.issn.1004-373x.2018.06.009
基于超像素与BoF的运动目标跟踪算法
Motion target tracking algorithm based on superpixel and BoF
摘要
Abstract
In allusion to the drift problems caused by occlusion,illumination and deformation,a motion target tracking al-gorithm based on superpixel and BoF is proposed. The SLIC method is adopted to perform superpixel segmentation for observa-tion area of motion target. The superpixel dictionary with mid-level visual cues and BoF dictionary with low-level superpixel characteristic are constructed based on superpixel to realize hybrid modeling for motion target appearance model. Particle filter-ing framework and online dictionary update are introduced to adapt the variations of targets and background. The experimental re-sults show that the algorithm can tackle the effects of severe occlusion,non-rigid deformation,complex background and other in-terference factors,and has good stability and robustness.关键词
目标跟踪/表观模型/中层视觉线索/超像素/BoF/粒子滤波框架Key words
target tracking/appearance model/mid-level visual cue/superpixel/BoF/particle filtering framework分类
信息技术与安全科学引用本文复制引用
邱晓荣,彭力,刘全胜..基于超像素与BoF的运动目标跟踪算法[J].现代电子技术,2018,41(6):37-40,44,5.基金项目
国家自然科学基金项目资助(61374047) （61374047）
江苏高校品牌专业建设工程资助项目(PPZY2015C240) Project Supported by National Natural Science Foundation of China(61374047),Top-notch Academic Programs Project of Jiangsu Higher Education Institutions(PPZY2015C240) （PPZY2015C240）
