Infrared and Laser Engineering, Volume. 45, Issue s1, 126004(2016)
Moving target tracking algorithm based on improved Kernelized correlation filter
[1] [1] Kinjal A, Darshak G. A survey on moving object detection and tracking in video surveillance system[J]. International Journal of Soft Computing and Engineering(IJSCE), 2012, 05(6): 128-134.
[2] [2] Wu Y, Lim J, Yang M. Online object tracking: a benchmark[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2013: 2411-2418.
[3] [3] Hong H, Wang L, Shi Z. Simplified particle PHD filter for multiple-target tracking: algorithm and architecture[J]. Progress in Electromagnetics Research, 2011, 120: 481-498.
[4] [4] Wang F, Ye J. A novel fragments-based tracking algorithm using mean shift[C]//IEEE International Conference on Control Automation Robotics and Vision, 2008: 694-698.
[5] [5] Li Jianfeng, Huang Zengxi, Liu Yiguang. An adaptive Mean-Shift algorithm based on optical-flow field estimation for target tracking[J]. Journal of Optoelectronics·Laster, 2012, 23(10): 1996-2002. (in Chinese)
[6] [6] Denman S, Chandran V, Sridharan S. An adaptive optical flow technique for person tracking systems[J]. Pattern Recognition Letters, 2007, 28(10): 1232-1239.
[7] [7] Bolme D, Beveridge J, Draper B, et al. Visual target tracking using adaptive correlation filters[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2010: 2544-2550.
[8] [8] Mahalanobis A, Vijaya K, Casasent D. Minimum average correlation energy filters[J]. Applied Optics, 1987, 26(05): 3633-3640.
[9] [9] Galoogahi H, Sim T, Lucey S. Multi-channel correlation filters[C]//IEEE International Conference on Computer Vision, 2013: 3072-3079.
[10] [10] Rodriguez A, Boddeti V, Vijaya K, et al. Maximum margin correlation filters: a new approach for localization and classification[J]. IEEE Transaction on Image Processing, 2013, 22(02): 631-643.
[11] [11] Henriques J, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2012, 37(3): 583-596.
[12] [12] Shiuh W, Chung K, Shu T. Video target tracking using adaptive kalman filter[J]. Journal of Visual Communication and Image Representation, 2006, 17(6): 1190-1208.
[13] [13] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2005: 886-893.
[14] [14] Rifkin R, Yeo G, Poggio T. Regularized least-squares classification[J]. Nato Science Series Sub Series III Computer and Systems Sciences, 2004, 42(1): 93-104.
[15] [15] Oron S, Hillel A, Avidan S. Extended lucas kanade tracking[C]//European Conference on Computer Vision, 2014: 142-156.
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Xing Yunlong, Li Aihua, Cui Zhigao, Fang Hao. Moving target tracking algorithm based on improved Kernelized correlation filter[J]. Infrared and Laser Engineering, 2016, 45(s1): 126004
Category: 信息获取与辨识
Received: Jan. 10, 2016
Accepted: Feb. 15, 2016
Published Online: Jun. 12, 2016
The Author Email: Yunlong Xing (5735624@qq.com)