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Volume 30 Issue 11
Jan.  2011
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Shen Yue, Wu Xiao-Jun. Improvement Algorithm of Mean Shift Based on Fuzzy Subordination Relations[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2688-2692. doi: 10.3724/SP.J.1146.2007.00675
Citation: Shen Yue, Wu Xiao-Jun. Improvement Algorithm of Mean Shift Based on Fuzzy Subordination Relations[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2688-2692. doi: 10.3724/SP.J.1146.2007.00675

Improvement Algorithm of Mean Shift Based on Fuzzy Subordination Relations

doi: 10.3724/SP.J.1146.2007.00675
  • Received Date: 2007-05-08
  • Rev Recd Date: 2007-12-17
  • Publish Date: 2008-11-19
  • In view of the fact that the center position of new target template obtained by the computation of the core step of Mean Shift algorithm is nearly all non-integer, in this paper, a concept of fuzzy membership is proposed, the steps in image tracking using Mean Shift algorithm are improved. The results of experiments show that computational load and error are less than that of the original algorithm.
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  • [1] Fukunage K and Hostetler D. The estimation of the gradientof a density function with application in pattern recognition[J].IEEE Trans. on Information Theory.1975, 21(1):32-40 [2] Cheng Y. Mean shift, mode seeking and clustering[J].IEEETrans. on Pattern Analysis and Machine Intelligence.1995,17(8):790-799 [3] Comanicin D and Meer P. Mean shift analysis andapplication[J]. Proceedings of the Seventh IEEEInternational Conference Computer Vision[C], Kerkyra,Greece, 1999, 2: l197-l203. [4] Comanicin D and Meer P. Mean shift: A robust applicationtoward feature space analysis[J].IEEE Trans. on PatternAnalysis and Machine Intelligence.2002, 24(5):603-619 [5] Comanicin D and Meer P. Robust analysis of feature spaces:color image segmentation. Proc. 1997 IEEE conf. ComputerVision and Pattern Recognition[C]. San Juan. Puerto Rico:IEEE, 1997: 750-755. [6] Comanicin D, Ramesh V, and Meer P. Rea1-timetracking ofnon-rigid objects using mean shift. Proc of the IEEEConference on Computer Vision and Pattern Recognition[C].Hilton Head Island, USA, 2000, 2: 142-149. [7] Li Xiang-ru, Wu Fuc-hao, and Hu Zhan-yi. Convergence of aMean Shift Algorithm[J].Journal of Software.2005, 16(3):365-374 [8] Jia Jing-ping and Zhao Rong-chun. Tracking of objects inimage sequences using bandwidth matrix mean shiftalgorithm[J].Proceedings of the 2004 International Conferenceon Signal Processing (ICSP'04)[C]. Beijing.2004, 2:918-921
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