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Implementation on video object segmentation algorithm

Implementation on video object segmentation algorithm. Kuo, Yi-Ting and Wu, Chia-Peng May 03. 2004. Outlines. Introduction Algorithm Architecture of hardware implementation Systolic array for texture feature extraction. Introduction.

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Implementation on video object segmentation algorithm

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  1. Implementation on video object segmentation algorithm Kuo, Yi-Ting and Wu, Chia-Peng May 03. 2004

  2. Outlines • Introduction • Algorithm • Architecture of hardware implementation • Systolic array for texture feature extraction

  3. Introduction • Our project is focused on extracting moving objects from video. • The algorithm of moving object segmentation can be applied to MPEG-4 standard which enable content-based functionality. • Also can be used in traffic surveillance system.

  4. Previous frame In-1 Current Frame In Change detection Find moving object edge Smooth edge Moving object Algorithm －

  5. Mean and Variance Features The two features (mean and variance),ft1(m,n) and ,ft2(m,n) are textural appearance of the area surrounding a pixel (m,n) in a small window centered on this pixel, Nw is the number of pixel of Ws * Ws of window W .

  6. Systolic array for texture feature extraction

  7. Systolic array for extracting the two texture features ft1, ft2 • Systolic array for extracting the two texture features using 5x5 window • The luminance component of a reference frame fy(m,n) are scanned • Into 1+4Nc size FIFO. • Nc = number of columns of reference frame • Block A: accumulates luminance components. • Block M: generate a mean value by dividing the accumulated result by Nw • Block V: calculate localvariance texture feature.

  8. DEMO

  9. References [1] Changick Kim and Jenq-Neng Hwang, “Fast and automatic video object segmentation and tracking for content-based application,”IEEE Trans. Circuits and Systems for Video Technology, vol. 12, No. 2, Feb. 2002, pp. 122-129. [2] J. F. Canny, “A computational approach to edge detection,”IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 679-698, Nov. 1996. [3] Jinsang Kim and Tom Chen, “Real-time video objects segmentation using a highly pipelined microarchitecture,”Proceedings of the IASTED International Conference, Visualization, Imaging, and Image Processing, Sep. 3-5, 2001, Marbella, Spain, pp. 483-488 [4] Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing.

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