计算机应用与软件2016，Vol.33Issue(5)：173-176,221,5.DOI:10.3969/j.issn.1000-386x.2016.05.043
基于 SUSAN 角点和 HSV 颜色模型的粒子滤波目标跟踪算法
PARTICLE FILTER OBJECT TRACKING ALGORITHM BASED ON SUSAN CORNER DETECTION AND HSV COLOUR MODEL
摘要
Abstract
For deficiencies of traditional particle filter object tracking algorithm in bigger deviation of object localisation and being prone to object missing when its colour is similar to background,we proposed a particle filter object tracking algorithm which is based on corner and colour model.First,we presented an improved SUSAN corner detection algorithm,which uses median grayscale value of the pixel in neighbourhood of circular template instead of the greyscale value of the pixel in template centre as the “kernel”of the template to detect regional object corner,the improved SUSAN corner algorithm not only inherits the characteristics of original SUSAN algorithm,such as simple calculation,accurate positioning,rotation invariance, etc., but also has better anti-noise performance. Secondly, we utilised the characteristic of illumination invariant in HSV colour model to build HSV colour model for the detected corner,and then embedded it into the particle filter framework to realise object tracking.Experimental results showed that when the background closed to the target colour,this algorithm could effectively prevent the interference of background and achieved a better object tracking performance.关键词
SUSAN 角点检测/粒子滤波算法/目标跟踪/HSV 颜色模型Key words
SUSAN corner detection/Particle filter algorithm/Object tracking/HSV colour model分类
信息技术与安全科学引用本文复制引用
闫河,刘婕,王朴,杨德红..基于 SUSAN 角点和 HSV 颜色模型的粒子滤波目标跟踪算法[J].计算机应用与软件,2016,33(5):173-176,221,5.基金项目
国家自然科学基金面上项目（61173184）；重庆理工大学研究生创新基金项目（YCX2013219）。闫河，教授，主研领域图像多尺度几何分析，目标跟踪，模式识别。 （）
