Opto-Electronic Engineering, Volume. 39, Issue 9, 42(2012)

A Moving Object Detection Algorithm Based on Learning Vector Quantization

WANG Shi-dong1,2、*, ZHOU De-chuang1, and WANG Jan1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(12)

    [2] [2] Horn BK, Schunk B G. Determining optical flow [J]. Artificial Intelligence(S0004-3702), 1981, 17(1/3): 185-203.

    [3] [3] Smith S M. ASSET-2: Real-time motion segmentation and shape tracking [C]// 1995 International Conference on Computer Vision, Cambridge, MA, 1995: 237-244.

    [5] [5] Neri A, Colonnese S, Russo G, et al. Automatic moving object and background separation [J]. Signal Processing(S0165-1684), 1998, 66(2): 219-232.

    [6] [6] Magee D. Tracking multiple vehicle using foreground, background and motion models [J]. Image and Vision Computing(S0262-8856), 2004, 22(2): 143-155.

    [7] [7] ZHANG Rui, ZHANG Si-zhu, YU Song. Moving objects detection method based on brightness distortion and chromaticity distortion [J]. IEEE Transactions on Consumer Electronics(S0098-3063), 2007, 53(3): 1177-1185.

    [11] [11] Huang T, Qiu J, Sakayori T, et al. Motion detection based on background modeling and performance analysis for outdoor surveillance [C]// 2009 International Conference on Computer Modeling and Simulation(ICCMS2009), Macau, China, 2009: 38-42.

    [14] [14] Culibrk D, Marques O, Socek D, et al. Neural network approach to background modeling for video object segmentation [J]. IEEE Transactions on Neural Networks(S1045-9227), 2007, 18(6): 1614-1627.

    [15] [15] Maddalena L, Petrosino A.A self-organizing approach to background subtraction for visual surveillance applications [J]. IEEE Transactions on Image Processing(S1057-7149), 2008, 17(7): 1168-1177.

    [17] [17] Deepak Joshi, Mishra A, Sneh Anand. LVQ based speed adaptive swing and stance phase detection: An alternate to Foot Switch [J]. International Journal of Advances in Soft Computing and Its Applications(S2074-8523), 2010, 2(1): 30-39.

    [18] [18] Pojala Chiranjeevi, Somnath Sengupta. Moving object detection in the presence of dynamic backgrounds using intensity and textural features [J]. Journal of Electronic Imaging(S1017-9909), 2011, 20(4): 043009-01-043009-11.

    [19] [19] PETS Dataset [DB/OL]. http: //ftp.pets.rdg.ac.uk.

    [20] [20] Li L, Huang W, Gu I Y, et al. Statistical Modeling of Complex Background for Foreground Object Detection [J]. IEEE Trans on Image Processing(S1057-7149), 2004, 13(11): 1459-1472.

    CLP Journals

    [1] LING Jian-yong, HE Xin, WEI Zhong-hui, LI Yi-mang, LIANG Guo-long. Footprint automatic alignment algorithm fusing texture features and depth information[J]. Optics and Precision Engineering, 2014, 22(7): 1946

    Tools

    Get Citation

    Copy Citation Text

    WANG Shi-dong, ZHOU De-chuang, WANG Jan. A Moving Object Detection Algorithm Based on Learning Vector Quantization[J]. Opto-Electronic Engineering, 2012, 39(9): 42

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Apr. 10, 2012

    Accepted: --

    Published Online: Jan. 8, 2013

    The Author Email: Shi-dong WANG (wshidong@mail.ustc.edu.cn)

    DOI:10.3969/j.issn.1003-501x.2012.09.008

    Topics