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復(fù)雜背景下多運(yùn)動目標(biāo)輪廓檢測

楊莉,  李玉山,  劉洋,  張大樸

楊莉, 李玉山, 劉洋, 張大樸. 復(fù)雜背景下多運(yùn)動目標(biāo)輪廓檢測[J]. 電子與信息學(xué)報, 2005, 27(2): 306-309.
引用本文: 楊莉, 李玉山, 劉洋, 張大樸. 復(fù)雜背景下多運(yùn)動目標(biāo)輪廓檢測[J]. 電子與信息學(xué)報, 2005, 27(2): 306-309.
Yang Li, Li Yu-shan, Liu Yang, Zhang Da-pu. Detection Contours of Multiple Moving Objects with Complex Background[J]. Journal of Electronics & Information Technology, 2005, 27(2): 306-309.
Citation: Yang Li, Li Yu-shan, Liu Yang, Zhang Da-pu. Detection Contours of Multiple Moving Objects with Complex Background[J]. Journal of Electronics & Information Technology, 2005, 27(2): 306-309.

復(fù)雜背景下多運(yùn)動目標(biāo)輪廓檢測

Detection Contours of Multiple Moving Objects with Complex Background

  • 摘要: 該文在研究多種運(yùn)動目標(biāo)輪廓檢測算法的基礎(chǔ)上,提出了一種新的復(fù)雜背景下基于連續(xù)3幀即可精確檢測多運(yùn)動目標(biāo)輪廓的算法。分析和實驗表明,該算法抗干擾能力強(qiáng),可以有效地消除被運(yùn)動目標(biāo)遮擋和重現(xiàn)的紋理背景,對復(fù)雜背景及不重疊多目標(biāo)運(yùn)動情況,可以精確地定位各個運(yùn)動目標(biāo)的外輪廓。此外,該算法具有潛在的并行機(jī)制,易于實現(xiàn)實時運(yùn)動圖像處理。
    Abstract: On the basis of studying some recent motion contours detection algorithms, a new approach to extract contours of moving objects from three consecutive image frames with complex background is suggested in this paper. Several experiments show that the algorithm is robust in noisy environment, effective to reduce the effect of objects shadow and occluding, and efficient for moving objects contours detection among image sequence with complex background.
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  • Changick Kim, Hwang Jenq-Neng. Fast and automatic video object segmentation and tracking for content-based application[J].IEEE Trans. on Circuits and Systems for Video Technology.2002,12(2):122-[2]Thomas M, King N. NganAutomatic segmentation of moving objects for video object plane generation[J].. IEEE Trans. on Circuits and Systems for Video Technology.1998, 8(5):525-[3]Adrian G. Bors, Ioannis PitasPrediction and tracking of moving objects in image sequence[J].. IEEE Trans. on Image Processing.2000, 9(8):1441-[4]Kass M, Witkin A, Terzopoulos D. Snake: Active contour models[J].International Journal of Computer Vision.1988, 1(4):321-[5]Rhee P K, La C W. Boundary extraction of moving objects from image sequence. TENCON 99. Proceedings of the IEEE Region 10 Conference. 15 - 17 Sept., 1999, Vol. 1: 621 - 624.[6]Neff A, Colonnese S, Russo G, Talone P. Automatic moving object and background separation[J].Signal Processing.1998,66(2):219-[7]Dubuisson M P, Jain A K. Contour extraction of moving objects in complex outdoor scenes[J].International Journal of Computer Vision.1995, 14(1):83-[8]Williams D J, Shah M. A fast algorithm for active contours. In Proc. Third Int. Conf. Computer Vision, Osaka, Japan, Dec. 4 - 7,1990:592 - 595.[9]WilliamsD J, Shah M. A fast algorithm for active contours and curvature estimation. CVGIP: Image Understanding, 1991, 55(1):14 - 26.[10]Amini A, Tehrani S, Whemouth T. Using dynamic programming for minimizing the energy of active contours in the presence of hard constraints. In Proc. Second Int. Conf. Computer Vision,Tarpon Springs, Dec. 5 - 8, 1988:95 - 99.[11]Amini A, Whemouth T, Jain J. Using dynamic programming for solving variational problems in vision[J].IEEE Trans. on Pattern Anal. Machine Intell.1990, 12(9):855-
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出版歷程
  • 收稿日期:  2003-09-02
  • 修回日期:  2004-05-08
  • 刊出日期:  2005-02-19

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