仿射变换在压缩感知跟踪中的应用

doi:10.3969/j.issn.1001-2400.2015.02.027

J4 ›› 2015, Vol. 42 ›› Issue (2): 162-166+205.doi: 10.3969/j.issn.1001-2400.2015.02.027

仿射变换在压缩感知跟踪中的应用

黄宏图¹;葛渊²;张继³;查宇飞¹;毕笃彦¹;侯志强⁴

(1. 空军工程大学航空航天工程学院，陕西西安 710038; 2. 西北有色金属研究院，陕西西安 710016; 3. 空军工程大学防空反导学院，陕西西安 710051; 4. 空军工程大学信息与导航学院，陕西西安 710077)

收稿日期:2013-12-25 修回日期:2014-04-30 出版日期:2015-04-20 发布日期:2015-04-14
作者简介:黄宏图(1986-)，男，空军工程大学博士研究生，E-mail: huanghongtu2012@gmail.com．
基金资助:
国家自然科学基金资助项目(61175029，61379104，61372167)；国家自然科学基金青年科学基金资助项目(61203268，61202339)

Application of affine transform in compressed sensing tracking

HUANG Hongtu¹;GE Yuan²;ZHANG Ji³;ZHA Yufei¹;BI Duyan¹;HOU Zhiqiang⁴

(1. Aeronautics and Astronautics Engineering College, Air Force Engineering Univ., Xi'an 710038, China; 2. Northwest Institute of Nonferrous Metal Research, Xi'an 710016, China; 3. Air Defense and Antimissile Institute, Air Force Engineering Univ., Xi'an 710051, China; 4. Information and Navigation Institute, Air Force Engineering Univ., Xi'an 7100772, China)

Received:2013-12-25 Revised:2014-04-30 Online:2015-04-20 Published:2015-04-14

摘要/Abstract

摘要： 针对跟踪中目标尺度变化和旋转问题，将仿射变换和应用到压缩感知跟踪中．首先，以上一帧的跟踪结果为均值，以一定的标准差按照高斯分布，随机生成不同尺度和旋转角度的候选框；然后，通过仿射变换将其转换至直角坐标系中，通过多尺度滤波得到目标在不同尺度下的高维特征向量，采用压缩矩阵将高维特征向量降维至低维空间；最后，将低维特征向量通过贝叶斯分类器选取具有最大响应的候选位置作为目标的跟踪位置．在此基础上分别提取正负样本来更新分类器参数，从而实现持续稳定的跟踪．实验结果表明，该算法能够较好地解决压缩感知跟踪中的目标旋转和尺度变化问题．

关键词: 视频跟踪, 仿射变换, 尺度变化, 目标旋转, 压缩感知

Abstract: The affine transform is employed to solve the scale change and rotation in in compressed sensing tracking. Firstly according to the Gauss distribution of a certain variance, a number of candidates are produced based on the former tracking result. Then the patch is transformed into the orthogonal coordinate via affine transformation. And the high-dimension feature vector is acquired through the multiple-scale filter. The high-dimension feature vector is compressed through the compressive matrix. Finally, the low-dimension feature vector is passed through the bayes classifier and the candidate with the highest response is recognized as the tracking result, on the basis of which the positive and negative samples are extracted to update the parameters of the naive bayes classifier. Experimental results show that the proposed algorithm can well cope with the scale variation and rotation in compressed visual tracking.

Key words: visual tracking, affine transform, scale variation, object rotation, compressed sensing

中图分类号:

TP391

黄宏图;葛渊;张继;查宇飞;毕笃彦;侯志强. 仿射变换在压缩感知跟踪中的应用 [J]. J4, 2015, 42(2): 162-166+205.

HUANG Hongtu;GE Yuan;ZHANG Ji;ZHA Yufei;BI Duyan;HOU Zhiqiang. Application of affine transform in compressed sensing tracking [J]. J4, 2015, 42(2): 162-166+205.

参考文献

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仿射变换在压缩感知跟踪中的应用

Application of affine transform in compressed sensing tracking

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