基于背景直方图的Staple目标跟踪算法  

Staple object tracking based on background-weight histogram

作　　者：孟令军[1] 尚桠朝 Meng Lingjun;Shang Yachao(Nationl Key Laboratory for Electronic Measurement Technology,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学电子测试技术国防科技重点实验室,山西太原030051

出　　处：《电子技术应用》2021年第9期20-24,38,共6页Application of Electronic Technique

摘　　要：针对Staple算法在由于相机运动出现模糊情况下跟踪精度下降的问题,提出一种基于背景权重直方图的改进Staple目标跟踪算法。首先,针对传统颜色直方图忽略空间性的问题,提出对直方图引入位置权重;其次,利用背景区域颜色直方图抑制背景信息对目标区域直方图的影响,提出引入背景权重直方图,并完成直方图分类器的构建。该算法在OTB2015测试集上与其他5个先进算法进行实验比较,结果表明在距离精度和成功率上总体效果相对Staple分别提升了3.7%和2%。Focusing on the problem that the tracking accuracy of Staple tracker is reduced due to blurring of camera motion,an improved Staple tracker base on background-weight histogram is proposed.Firstly,aiming at the problem of ignoring the spatiality of the traditional histogram,it is proposed to add position to the histogram.Furthermore,making full use of the color histogram of the background area,the influence of the background information on the histogram of the target area is suppressed,this paper proposes to introduce the background-weight histogram,and completes the construction of the histogram classifier.Experiment is made on OTB2015 benchmark for comparing the proposed tracker with other 5 state-of-the-art trackers.The results show that the proposed tracker has 3.7%and 2%improvement in distance accuracy and success rate respectively.

关 键 词：背景权重直方图 目标跟踪 STAPLE 运动模糊 相关滤波 

分 类 号：TN98[电子电信—信息与通信工程] TP391[自动化与计算机技术—计算机应用技术]