中圖分類號(hào)： TN98,；TP391 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.201258 中文引用格式： 孟令軍，尚椏朝. 基于背景直方圖的Staple目標(biāo)跟蹤算法[J].電子技術(shù)應(yīng)用,，2021,，47(9)：20-24，38. 英文引用格式： Meng Lingjun,，Shang Yachao. Staple object tracking based on background-weight histogram[J]. Application of Electronic Technique,，2021，47(9)：20-24,，38.
Staple object tracking based on background-weight histogram
Meng Lingjun,，Shang Yachao
Nationl Key Laboratory for Electronic Measurement Technology，North University of China,，Taiyuan 030051,，China
Abstract： 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.
Key words : background-weight histogram,；object tracking；Staple,；motion blur,；correlation filter
