| 加权颜色粒子滤波与SIFT特征双融合的行人跟踪 |
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| 引用本文： | 魏旭东,秦立峰. 加权颜色粒子滤波与SIFT特征双融合的行人跟踪[J]. 计算机工程与设计, 2019, 40(2): 556-561 |
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| 作者姓名： | 魏旭东 秦立峰 |
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| 作者单位： | 西北农林科技大学机电学院,陕西杨凌712100;西安交通大学电信学院,陕西西安710049;西北农林科技大学机电学院,陕西杨凌712100;农业部农业物联网重点实验室,陕西杨凌712100 |
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| 基金项目： | 陕西省农业科技创新与科技攻关计划 |
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| 摘 要： | 为改善粒子退化现象,提高粒子滤波算法对于遮挡目标的跟踪精度,提出加权颜色特征与SIFT特征双层融合的粒子滤波算法。用粒子的位置信息对传统粒子权重进行改进,作为内层融合,对SIFT点匹配跟踪框与粒子滤波跟踪框进行外融合,改善遮挡情况下粒子退化的情况,提高跟踪精度。在VOT2014视频数据库上的实验结果表明,提出算法平均跟踪精度为95.03%,较传统粒子滤波算法提高了6个百分点。
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| 关 键 词： | 目标跟踪 遮挡 粒子滤波 SIFT点 算法融合 粒子退化 |
Double combination of weighted color particle filter and SIFT for pedestrian tracking |
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| WEI Xu-dong,QIN Li-feng. Double combination of weighted color particle filter and SIFT for pedestrian tracking[J]. Computer Engineering and Design, 2019, 40(2): 556-561 |
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| Authors: | WEI Xu-dong QIN Li-feng |
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| Affiliation: | (College of Mechanical and Electronic Engineering,Northwest A&F University,Yangling 712100,China;School of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China;Key Laboratory of Agricultural Internet of Things,Ministry of Agriculture,Yangling 712100,China) |
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| Abstract: | Particle degeneracy is a serious problem for occlusion object tracking in terms of particle filter algorithm.To solve the problem,double combination of weighted color feature and SIFT based particle filter algorithm was proposed.The location information was adopted to improve the conventional particle weight as the inner fusion.The tracking box of SIFT points matching and that of particle filter were fused afterwards to improve particle degeneracy and promote the tracking accuracy.Experimental results on VOT2014 video database show that the average tracking accuracy of the proposed algorithm is 95.03%,which is 6 percentage points higher than that of the traditional particle filter algorithm. |
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| Keywords: | visual tracking occlusion particle filter SIFT point algorithm combination particle degeneracY |
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