• Acta Photonica Sinica
  • Vol. 41, Issue 8, 914 (2012)
WANG Hui-bin*, SHEN Jun-lei, WANG Xin, and ZHANG Li-li
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/gzxb20124108.0914 Cite this Article
    WANG Hui-bin, SHEN Jun-lei, WANG Xin, ZHANG Li-li. Moving Object Segmentation Based on Fusion-PCNN in Compressed Domain[J]. Acta Photonica Sinica, 2012, 41(8): 914 Copy Citation Text show less
    References

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    [2] WANG D, KWOK N M, JIA X, et al. A cellular automata approach for superpixel segmentation[C]. Shanghai: International Congress on Image and Signal Processing, 2011: 1122-1126.

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    [4] YU Hai-bin, HE Zhi-wei, LIU Yuan-yuan, et al. A dynamic texture-based method for multidirectional motions segmentation of crowd [C]. Shanghai: International Congress on Image and Signal Processing, 2011: 1132-1136.

    [5] ZENG W, DU J, GAO W, et al. Robust moving object segmentation on H.264/AVC compressed video using the block based MRF model [J]. Real Time Imaging, 2005, 11(4): 290-299.

    [6] LIU Zhi, LU Yu, ZHANG Zhao-yang. Real time spatiotemporal segmentation of video objects in the H. 264 compressed domain[J]. Visual Communication and Image Representation, 2007, 18(3): 275-290.

    [7] WANG Pei, WANG Jun. Block characteristic based moving object segmentation in the H.264 compressed domain [C]. Shanghai: IEEE International Conference on Signal Processing Systems (ICSPS), 2010: 643-647.

    [8] CHEN Ming-sheng, LIANG Guang-ming. Abstraction moving objects from H.264 bit stream with MAP-MRF [C]. Chengdu: IEEE Wireless Communications Networking and Mobile Computing, 2010: 1-4.

    [9] WU Zhi-xia, WANG Pei. Moving object segmentation in H.264/AVC compressed domain using ant colony algorithm[C]. Dalian: IEEE International Conference on Signal Processing Systems (ICSPS), 2010: 716-719.

    [10] ECKHORN R, REITBOECK H J, ARNDT M. Feature linking via synchronization among distributed assemblies: Simulation of results from cat cortex[J]. Neural Computer, 1990, 2(3): 293-307.

    [11] GU Xiao-dong, YU Dao-heng. PCNN’s principles and applications[J]. Journal of Circuits and Systems, 2001, 6(3): 45-50.

    [12] POPPE C, BRUYNE S D, PARIDAENS T. Moving object detection in the H. 264/AVC compressed domain for video surveillance applications[J]. Journal of Visual Communication and Image Representation, 2009, 20(6): 428-437.

    WANG Hui-bin, SHEN Jun-lei, WANG Xin, ZHANG Li-li. Moving Object Segmentation Based on Fusion-PCNN in Compressed Domain[J]. Acta Photonica Sinica, 2012, 41(8): 914
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