南京师范大学学报（工程技术版）2018，Vol.18Issue(1)：56-63,8.DOI:10.3969/j.issn.1672-1292.2018.01.008
HLBP与颜色特征自适应融合的粒子滤波目标跟踪改进算法
Improved Particle Filtering Target Tracking Algorithm for HLBP and Color Feature Adaptive Fusion
摘要
Abstract
In this paper,an adaptive particle filter tracking algorithm combining HLBP feature and color feature is proposed. This algorithm is based on imperfection of the classical particle filter target tracking algorithm:it only uses the color feature to track and does not perform effectively in the same color interference condition.Our algorithm uses the Haar local binary model operator to extract the HLBP texture feature and combine it with the color feature. Through the opposed model,we dynamically adjust adaptive weights of the color characteristics and texture features in the tracking process,which achieve the adaptive fusion between the color feature and texture feature. Experiments show that the tracking result is greatly strengthened under the same color interference with our algorithm.What's more,in case of occlusions,our algorithm can still track stably and continuously,thus improving the accuracy and applicability of tracking.关键词
粒子滤波/HLBP纹理特征/颜色特征/自适应权值Key words
particle filter/HLBP texture feature/color feature/adaptive weights分类
信息技术与安全科学引用本文复制引用
卞乐,李天峰,韦怡,曾毓敏..HLBP与颜色特征自适应融合的粒子滤波目标跟踪改进算法[J].南京师范大学学报（工程技术版）,2018,18(1):56-63,8.基金项目
江苏省科技支撑计划(BE2014139)、江苏省基础研究计划(自然科学基金)——青年基金项目(BK20171031) （BE2014139）
