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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/80824

    Title: Moving Object Tracking Using Symmetric Mask-Based Scheme
    Authors: Hsia, Chih-Hsien;Huang, Ding-Wei;Chiang, Jen-Shiun;Wu, Zong-Jheng
    Contributors: 淡江大學電機工程學系
    Keywords: Lifting-based Discrete Wavelet Transform (LDWT);symmetric mask-based discrete wavelet transform (SMDWT);symmetric mask-based scheme (SMBS)
    Date: 2009
    Issue Date: 2013-03-07 14:01:51 (UTC+8)
    Publisher: New York: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: This work presents a new approach, symmetric mask-based scheme (SMBS), for moving object detection and tracking based on the symmetric mask-based discrete wavelet transform (SMDWT). This work presents a fast algorithm, called 2D SMDWT, to improve the critical issue of the 2D lifting-based Discrete Wavelet Transform (LDWT), and then obtains the benefit of low latency, reduced complexity, and low transpose memory for object detection. The successful moving object detection in a real surrounding environment is a difficult task due to noise issues such as fake motion or Gaussian noise. The SMBS approach can effectively reduce noises with low computing cost in both indoor and outdoor environments. The experimental results indicate that the proposed method can provide precise moving object detection and tracking.
    Relation: Information Assurance and Security, 2009. IAS '09. Fifth International Conference on, pp.173-176
    DOI: 10.1109/IAS.2009.150
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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