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一種改進(jìn)的窄帶算法在彩色序列圖像人臉跟蹤中的應(yīng)用

陳衛(wèi)剛,  戚飛虎

陳衛(wèi)剛, 戚飛虎. 一種改進(jìn)的窄帶算法在彩色序列圖像人臉跟蹤中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2005, 27(4): 540-543.
引用本文: 陳衛(wèi)剛, 戚飛虎. 一種改進(jìn)的窄帶算法在彩色序列圖像人臉跟蹤中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2005, 27(4): 540-543.
Chen Wei-gang, Qi Fei-hu. Tracking of the Facial Region in Color Video Sequences Using an Improved Narrow Band Algorithm[J]. Journal of Electronics & Information Technology, 2005, 27(4): 540-543.
Citation: Chen Wei-gang, Qi Fei-hu. Tracking of the Facial Region in Color Video Sequences Using an Improved Narrow Band Algorithm[J]. Journal of Electronics & Information Technology, 2005, 27(4): 540-543.

一種改進(jìn)的窄帶算法在彩色序列圖像人臉跟蹤中的應(yīng)用

Tracking of the Facial Region in Color Video Sequences Using an Improved Narrow Band Algorithm

  • 摘要: 該文提出了一種基于幾何主動輪廓模型的人臉跟蹤方法.通過直方圖反向投影,使人臉區(qū)域表現(xiàn)為一個一致性區(qū)域與背景相區(qū)別.研究了一種改進(jìn)的窄帶算法實(shí)現(xiàn)曲線演化:以等間隔分布的節(jié)點(diǎn)表示運(yùn)動曲線,只在這些節(jié)點(diǎn)上計(jì)算Level set函數(shù)的變化值,窄帶區(qū)內(nèi)其余點(diǎn)的Level set值的更新通過插值和查表的方法實(shí)現(xiàn);根據(jù)節(jié)點(diǎn)的局部圖像信息決定節(jié)點(diǎn)的運(yùn)動方向和時間步長值.實(shí)驗(yàn)表明該算法能在滿足一定精度的前提下,快速地對運(yùn)動人臉進(jìn)行跟蹤.
    Abstract: A novel method based on geometric active contour model for face tracking is presented. After performing the chromatic histogram backprojection, facial region appears as a homogeneous region in the backprojected image. An improved narrow band algorithm is developed for implementing the curve evolution. The propagating curve is represented as a set of nodes. The update of the level set function is only calculated on these nodes, while the evolution on other grid points is performed using the interpolation and lookup table method. The motion direction as well as the time step of each node is different with respect to the local image properties. The experimental results indicate the proposed algorithm is fast and accurate enough for tracking faces in color image sequences.
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  • Fu Y, Erdem T, et al.. Tracking visible boundary of objects using occlusion adaptive motion snake[J].IEEE. Trans. on Image Processing.2001, 9(12):2051-[2]Pardas M, Sayrol E. Motion estimation based tracking of active contours[J].Pattern Recognition Letters.2001,22(13):1447-[3]Paragios N, Deriche R. Geodesic active contours and level sets for the detection and tracking of moving objects. IEEE Trans. on PAMI, 2000, 22(3): 266 - 280.[4]Goldenberg R, Kimmel R, et al.. Fast geodesic active contours[J].IEEE Trans. on Image Processing.2001, 10(10):1467-[5]岑峰,戚飛虎.短程線主動輪廓跟蹤算法的研究--在復(fù)雜背景和非剛性運(yùn)動目標(biāo)跟蹤中的應(yīng)用.計(jì)算機(jī)研究與發(fā)展,2003,40(2):283-288.[6]Malladi R, Sethian J A, et al.. Shape modeling with front propagation: a level set approach. IEEE Trans. on PAMI, 1995,17(2): 158- 174.[7]Wang H, Ghosh B. Geometric active deformable models in shape modeling[J].IEEE Trans. on Image Processing.2000, 9(2):302-[8]Sethian J A. Level Set Methods and Fast Marching Methods.Cambridge: Cambridge Univ. Press, 1999:64 - 85.[9]Sethian J A. A review of the theory, algorithms, and applications of level set methods for propagating interfaces. Acta Numerica,1995, 4:487 - 499.[10]Swain M J, Ballard D H. Color indexing[J].International Journal of Computer Vision.1991, 7(1):11-[11]Soriano M, Martinkauppi B, et al.. Adaptive skin color modeling using the skin locus for selecting training pixels[J].Pattern Recognition.2003, 36(3):681-[12]Herodotou N, Plataniotis K N, et al.. Automatic location and tracking of the facial region in color video sequences[J].Signal Processing: Image Communication.1999, 14(5):359-[13]Castleman K R. Digital Image Processing. Englewood Cliffs:Prentice-Hall, Inc., 1996:475 - 478.
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出版歷程
  • 收稿日期:  2003-11-28
  • 修回日期:  2004-06-12
  • 刊出日期:  2005-04-19

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