改进的核相关滤波算法在自航模动态目标跟踪应用
|
摘要
针对核相关滤波(KCF)算法在尺度变换和严重遮挡造成跟踪失败的缺点,本设计在KCF算法基础上通过增加尺度变换框与跟踪效果检测的方法,对KCF算法进行了改进,解决了在目标被遮挡或者离开屏幕跟踪失败的问题。实验表明,该方法应用在自航模的动态目标跟踪上,使自航模在目标大小变化、目标被遮挡和逃离视野时,能成功地找回目标并继续跟踪。
Kernel correlation filtering( KCF) algorithm is a target tracking algorithm,or KCF algorithm. KCF algorithm has shortcomings in scale transformation and severe occlusion,which causes failure of tracking. The KCF algorithm is improved by increasing the scale transform frame and the method for detection of tracking effect,which solves the problem of failure of the target being blocked or leaving the screen tracking. The experiment shows that when the method is applied to the dynamic target tracking of a small ship,it can make the small ship retrieve the target and continue to track the target when the target has changed in size,obscured and escaped from the field of vision.
Kernel correlation filtering( KCF) algorithm is a target tracking algorithm,or KCF algorithm. KCF algorithm has shortcomings in scale transformation and severe occlusion,which causes failure of tracking. The KCF algorithm is improved by increasing the scale transform frame and the method for detection of tracking effect,which solves the problem of failure of the target being blocked or leaving the screen tracking. The experiment shows that when the method is applied to the dynamic target tracking of a small ship,it can make the small ship retrieve the target and continue to track the target when the target has changed in size,obscured and escaped from the field of vision.
引文
[1]SMEULDERS A W M,CHU D M,CUCCHIARA R,et al.Visual tracking:an experimental survey[J].IEEE transactions on pattern analysis and machine intelligence,2014,36(7):1442-1468.
[2]KWON J,LEE K M.Tracking by sampling trackers[C]//Proceedings of 2011 International Conference on Computer Vision.Barcelona,Spain:IEEE,2011:1195-1202.
[3]侯志强,韩崇昭.视觉跟踪技术综述[J].自动化报,2006,32(4):603-617.
[4]曾巧玲,文贡坚.运动目标跟踪综述[J].重庆理工大学学报(自然科学版),2016,30(7):103-111.
[5]BOLME D S,BEVERIDGE J R,DRAPER B A,et al.Visual object tracking using adaptive correlation filters[C]//Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.San Francisco,USA:IEEE,2010:2544-2550.
[6]ZHANG B,MAKRAM-EBEID S,PREVOST R,et al.Fast solver for some computational imaging problems:a regularized weighted least-squares approach[J].Digital signal processing,2014,27:107-118.
[7]ZHANG Kaihua,ZHANG Lei,YANG M H.Real-time compressive tracking[C]//Proceedings of the 12th European Conference on Computer Vision.Florence,Italy:Springer,2012.
[8]DANELLJAN M,KHAN F S,FELSBERG M,et al.Adaptive color attributes for real-time visual tracking[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition.Columbus,USA:IEEE,2014:1090-1097.
[9]HENRIQUES J F,CASEIRO R,MARTINS P,et al.Highspeed tracking with kernelized correlation filters[J].IEEEtransactions on pattern analysis and machine intelligence,2015,37(3):583-596.
[10]尹宏鹏,陈波,柴毅,等.基于视觉的目标检测与跟踪综述[J].自动化学报,2016,42(10):1466-1489.
[11]潘振福,朱永利.多尺度估计的核相关滤波器目标跟踪方法[J].激光与光电子学进展,2016,53(10):101501.
[12]GRAY R M.Toeplitz and circulant matrices:a review[J].Communications and information theory,2005,2(3):155-239.
[13]包晓安,詹秀娟,王强,等.基于KCF和SIFT特征的抗遮挡目标跟踪算法[J].计算机测量与控制,2018,26(5):148-152.
[14]DALAL N,TRIGGS B.Histograms of oriented gradients for human detection[C]//Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR).San Diego,USA:IEEE,2005:886-893.
[15]孙建刚,邓德衡,黄国樑.水面船舶操纵性敏感性分析[J].中国航海,2006(1):49-52.
[2]KWON J,LEE K M.Tracking by sampling trackers[C]//Proceedings of 2011 International Conference on Computer Vision.Barcelona,Spain:IEEE,2011:1195-1202.
[3]侯志强,韩崇昭.视觉跟踪技术综述[J].自动化报,2006,32(4):603-617.
[4]曾巧玲,文贡坚.运动目标跟踪综述[J].重庆理工大学学报(自然科学版),2016,30(7):103-111.
[5]BOLME D S,BEVERIDGE J R,DRAPER B A,et al.Visual object tracking using adaptive correlation filters[C]//Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.San Francisco,USA:IEEE,2010:2544-2550.
[6]ZHANG B,MAKRAM-EBEID S,PREVOST R,et al.Fast solver for some computational imaging problems:a regularized weighted least-squares approach[J].Digital signal processing,2014,27:107-118.
[7]ZHANG Kaihua,ZHANG Lei,YANG M H.Real-time compressive tracking[C]//Proceedings of the 12th European Conference on Computer Vision.Florence,Italy:Springer,2012.
[8]DANELLJAN M,KHAN F S,FELSBERG M,et al.Adaptive color attributes for real-time visual tracking[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition.Columbus,USA:IEEE,2014:1090-1097.
[9]HENRIQUES J F,CASEIRO R,MARTINS P,et al.Highspeed tracking with kernelized correlation filters[J].IEEEtransactions on pattern analysis and machine intelligence,2015,37(3):583-596.
[10]尹宏鹏,陈波,柴毅,等.基于视觉的目标检测与跟踪综述[J].自动化学报,2016,42(10):1466-1489.
[11]潘振福,朱永利.多尺度估计的核相关滤波器目标跟踪方法[J].激光与光电子学进展,2016,53(10):101501.
[12]GRAY R M.Toeplitz and circulant matrices:a review[J].Communications and information theory,2005,2(3):155-239.
[13]包晓安,詹秀娟,王强,等.基于KCF和SIFT特征的抗遮挡目标跟踪算法[J].计算机测量与控制,2018,26(5):148-152.
[14]DALAL N,TRIGGS B.Histograms of oriented gradients for human detection[C]//Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR).San Diego,USA:IEEE,2005:886-893.
[15]孙建刚,邓德衡,黄国樑.水面船舶操纵性敏感性分析[J].中国航海,2006(1):49-52.