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一种新的FAST-Snake目标跟踪方法

DOI: 10.3724/SP.J.1004.2014.01108, PP. 1108-1115

Keywords: FAST-Snake方法,Snake模型,特征点匹配,主动轮廓,目标跟踪

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Abstract:

?提出一种新的FAST-Snake目标跟踪方法,利用改进的FAST角点特征匹配来估计目标轮廓在帧间的全局仿射变换,将投影轮廓点作为Snake模型的初始化轮廓.为提高跟踪实时性,在Snake能量模型中定义了先验约束能,并用限定搜索方向的贪婪算法(Greedyalgorithm)实现局部轮廓优化.实验包括三维目标数据库及真实场景视频,验证了提出方法的均方误差(Meansquareerror,MSE)及收敛速度评估均优于对比算法,并具备对复杂运动及局部遮挡的适应能力.

References

[1]  Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. International Journal of Computer Vision, 1988, 1(4): 321-331
[2]  Cohen L D. On active contour models and balloons. CVGIP: Image Understanding, 1991, 53(2): 211-218
[3]  Cohen L D, Cohen I. Finite-element methods for active contour models and balloons for 2-D and 3-D images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(11): 1131-1147
[4]  Xu C Y, Prince J L. Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing, 1998, 7(3): 359-369
[5]  Zheng Qiang, Dong En-Qing. Narrow band active contour model for local segmentation of medical and texture images. Acta Automatica Sinica, 2013, 39(1): 21-30(郑强, 董恩清. 窄带主动轮廓模型及在医学和纹理图像局部分割中的应用. 自动化学报, 2013, 39(1): 21-30)
[6]  Hou Z Q, Han C Z. Force field analysis snake: an improved parametric active contour model. Pattern Recognition Letters, 2005, 26(5): 513-526
[7]  Rosten E, Porter R, Drummond T. Faster and better: a machine learning approach to corner detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1): 105-119
[8]  Williams D J, Shah M. A fast algorithm for active contours and curvature estimation. CVGIP: Image Understanding, 1992, 55(1): 14-26
[9]  Nene S, Nayar S, Murase H. Columbia Object Image Library (COIL-100), Technical Report CUCS-006-96, Columbia University, New York, 1996
[10]  Mukherjee D P, Acton S T. Affine and projective active contour models. Pattern Recognition, 2007, 40(3): 920-930
[11]  Osher S, Sethian J A. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics, 1988, 79(1): 12-49
[12]  Malladi R, Sethian J A, Vemuri B C. Shape modeling with front propagation: a level set approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(2): 158-175
[13]  Sethian J A. A fast marching level set method for monotonically advancing fronts. Proceedings of the National Academy of Sciences, 1996, 93(4): 1591-1595
[14]  Mansouri A R, Mukherjee D P, Acton S T. Constraining active contour evolution via Lie groups of transformation. IEEE Transactions on Image Processing, 2004, 13(6): 853-863
[15]  Zhou Xue, Hu Wei-Ming. Object contour tracking with fusion of color and incremental shape priors. Acta Automatica Sinica, 2009, 35(11): 1394-1402(周雪, 胡卫明. 融合颜色和增量形状先验的目标轮廓跟踪. 自动化学报, 2009, 35(11): 1394-1402)
[16]  Lin Hai-Feng, Ma Yu-Feng, Song Tao. Research on object tracking algorithm based on SIFT. Acta Automatica Sinica, 2010, 36(8): 1204-1208(蔺海峰, 马宇峰, 宋涛. 基于SIFT特征目标跟踪算法研究. 自动化学报, 2010, 36(8): 1204-1208)
[17]  Taylor S, Rosten E, Drummond T. Robust feature matching in 2.3μs. In: Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR). Miami, FL: IEEE, 2009. 15-22
[18]  Meer P, Mintz D, Rosenfeld A, Kim D Y. Robust regression methods for computer vision——a review. International Journal of Computer Vision, 1991, 6(1): 59-70
[19]  Terzopoulos D, Szeliski R. Tracking with Kalman snakes. Active Vision. Cambridge, MA: MIT Press, 1992. 3-20
[20]  Rathi Y, Vaswani N, Tannenbaum A, Yezzi A. Tracking deforming objects using particle filtering for geometric active contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(8): 1470-1475

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