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Moving Video Object Edge Detection Using Complex Wavelets

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Advances in Multimedia Information Processing - PCM 2008 (PCM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

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Abstract

In this paper, an unsupervised moving video object edge detection method based on the dual-tree complex wavelet transform (DT-CWT) domain is proposed, and its performance is compared with that of the discrete wavelet transform (DWT). In the proposed DT-CWT-based approach, an interframe change detection method with adaptive thresholding on six DT-CWT subbands is developed to detect moving video object edges, with assist of the edge map generated by exploiting the Canny edge detector in the corresponding frame. The performance of the proposed method is demonstrated both numerically and visually, and shows its clear superiority over the DWT-based approach.

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References

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Author information

Authors and Affiliations

  1. Temasek Laboratories, Nanyang Technological University, Singapore, 637553

    Turgay Celik

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798

    Kai-Kuang Ma

Authors
  1. Turgay Celik
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  2. Kai-Kuang Ma
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Editor information

Editors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, No.1, University Road, 701, Tainan City, Taiwan

    Yueh-Min Ray Huang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun East Road, 100190, Beijing, China

    Changsheng Xu

  3. Institute of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Kuo-Sheng Cheng

  4. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Jar-Ferr Kevin Yang

  5. Department of Electrical and Computer Engineering, Concordia University, S-EV005.139, 1515 St. Catherine West, Montreal, H4G 2W1, Quebec, Canada

    M. N. S. Swamy

  6. Microsoft Research Asia, 5/F, Beijing Sigma Center, No. 49, Zhichun Road, Hai Dian District, 100080, Beijing, China

    Shipeng Li

  7. Department of Information Management, National Kaohsiung University of Applied Sciences, No. 415, Jiangong Road, Sanmin District, 80778, Kaohsiung, Taiwan

    Jen-Wen Ding

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© 2008 Springer-Verlag Berlin Heidelberg

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Celik, T., Ma, KK. (2008). Moving Video Object Edge Detection Using Complex Wavelets. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_27

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  • DOI: https://doi.org/10.1007/978-3-540-89796-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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