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一种基于互补投票的高效光流计算方法

DOI: 10.3724/SP.J.1004.2013.01080, PP. 1080-1092

Keywords: 块匹配,互补投票,负投票,鲁棒性,光流

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Abstract:

?描述了一个基于互补投票的高效、带有信赖度的光流计算方法,简称CMV方法.为了计算一个感兴趣区域的光流,我们首先分割这个区域为若干个子区域,然后利用一个匹配策略计算每一个子区域的相似度分布.这些相似度分布被用来抽取两种类型的投票角色:正投票和负投票.随后,这两种投票角色在一个准则的控制下被用来获取一个最优的投票结果,这个投票结果将决定光流及其信赖度.为了削减CMV的计算复杂度,我们提出了一个基于正投票的(PV-based)负投票策略.实验结果显示,CMV方法能够有效计算低质量图像序列的光流,并且这个新的负投票策略在几乎没有影响性能的情况下极大地削减了算法的计算复杂度.

References

[1]  Barron J L, Fleet D J, Beauchemin S S. Performance of optical flow techniques. International Journal of Computer Vision (IJCV), 1994, 12(1): 43-77
[2]  DeSouza G N, Kak A C. Vision for mobile robot navigation: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(2): 237-267
[3]  Santos-Victor J, Sandini G, Curotto F, Garibaldi S. Divergent stereo for robot navigation: learning from bees. In: Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, NY: IEEE, 1993. 434-439
[4]  Kinoshita K, Enokidani M, Izumida M, Murkami K. Tracking of a moving object using one-dimensional optical flow with a rotating observer. In: Proceedings of the 9th International Conference on Control, Automation, Robotics and Vision (ICARCV). Singapore: IEEE, 2006. 1-6
[5]  Krishnamurthy R, Moulin P, Woods J W. Optical flow techniques applied to video coding. In: Proceedings of the 2007 International Conference on Image Processing. Washington, DC: IEEE, 2007. 570-573
[6]  Fleet D J, Jepson A D. Computation of component image velocity from local phase information. International Journal of Computer Vision (IJCV), 1990, 5(1): 77-104
[7]  Heeger D J. Optical flow using spatiotemporal filters. International Journal of Computer Vision (IJCV), 1988, 1(4): 279-302
[8]  McCane B, Novins K, Crannitch D, Galvin B. On benchmarking optical flow. Computer Vision and Image Understanding, 2001, 84(1): 126-143
[9]  Ullah F, Kaneko S. Using orientation codes for rotation-invariant template matching. Pattern Recognition, 2004, 37(2): 201-209
[10]  Kita Y. Change detection using joint intensity histogram. The Institute of Electronics, Information and Communication Engineers, 2007, J90-D(8): 1957-1965 (in Japanese)
[11]  Roodaki H, Rabiee H R, Ghanbari M. Rate-distortion optimization of scalable video codecs. Signal Processing: Image Communication, 2010, 25(4): 276-286
[12]  Pentland A S, Horowitz B. Recovery of nonrigid motion and structure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(7): 730-742
[13]  Horn B K P, Schunck B G. Determining optical flow. Artificial Intelligence, 1981, 17(1-3): 185-203
[14]  Caccia M. Vision-based ROV horizontal motion control: Near-seafloor experimental results. Control Engineering Practice, 2007, 15(6): 703-714
[15]  Fan Y, Balasuriya A P. Target tracking by underwater robots. In: Proceedings of the 2001 IEEE International Conference on Systems, Man, and Cybernetics. Tucson, AZ: IEEE, 2001. 696-701
[16]  van der Zwaan A S, Bernardino A, Santos-Victor J. Visual station keeping for floating robots in unstructured environments. Robotics and Autonomous Systems, 2002, 39(3-4): 145-155
[17]  Beauchemin S S, Barron J L. The computation of optical flow. ACM Computing Surveys, 1995, 27(3): 433-467
[18]  Ullah F, Kaneko S, Igarashi S. Orientation code matching for robust object search. IEICE Transactions on Information and Systems, 2001, E48-D(8): 999-1006
[19]  Bi G A, Li X M, Meng C, See S. LFM signal detection using LPP-Hough transform. Signal Processing, 91(6): 1432- 1443
[20]  Chen W Y. Color image steganography scheme using DFT, SPIHT codec, and modified differential phase-shift keying techniques. Applied Mathematics and Computation, 2008, 196(1): 40-54
[21]  Fumihiko S. Robust image matching for occlusion using vote by block matching. IEICE Transactions on Information and Systems, 2001, D-II J84-D-II(10): 2270-2279 (in Japanese)
[22]  Open Source Computer Vision Library [Online], available: http://www.opencv.jp/opencv-1.0.0/document/opencvref/ cvopticalflow.html, March 20, 2012

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