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Human Object Classification in Daubechies Complex Wavelet Domain

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Context-Aware Systems and Applications (ICCASA 2013)

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Abstract

Human object classification is an important problem for smart video surveillance applications. In this paper we have proposed a method for human object classification, which classify the objects into two classes: human and non-human. The proposed method uses Daubechies complex wavelet transform coefficients as a feature of object. Daubechies complex wavelet transform is used due to its better edge representation and approximate shift-invariant property as compared to real valued wavelet transform. We have used Adaboost as a classifier for classification of objects. The proposed method has been tested on standard datasets like, INRIA dataset. Quantitative experimental evaluation results show that the proposed method is better than other state-of-the-art methods and gives better performance.

The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-05939-6_37

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Acknowledgement

This work was supported in part by Council of Scientific and Industrial Research (CSIR), Human Resource Development Group, India, Under Grant No. 09/001/(0377)/2013/EMR-I.

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Authors and Affiliations

  1. Image Processing and Computer Vision Lab, Department of Electronics and Communication, University of Allahabad, Allahabad, India

    Manish Khare, Rajneesh Kumar Srivastava & Ashish Khare

  2. Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh, Vietnam

    Nguyen Thanh Binh & Tran Anh Dien

Authors
  1. Manish Khare
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  2. Rajneesh Kumar Srivastava
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  3. Ashish Khare
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  4. Nguyen Thanh Binh
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  5. Tran Anh Dien
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Corresponding author

Correspondence to Ashish Khare .

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Editors and Affiliations

  1. Faculty of Information Technology, Nguyen Tat Thanh University, Vietnam, Ho Chi Minh City, Vietnam

    Phan Cong Vinh

  2. Concordia University, Montreal, Canada

    Vangalur Alagar

  3. University of Limerick, Limerick, Ireland

    Emil Vassev

  4. University of Allahabad, Allahabad, India

    Ashish Khare

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© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Khare, M., Srivastava, R.K., Khare, A., Binh, N.T., Dien, T.A. (2014). Human Object Classification in Daubechies Complex Wavelet Domain. In: Vinh, P., Alagar, V., Vassev, E., Khare, A. (eds) Context-Aware Systems and Applications. ICCASA 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-05939-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-05939-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05938-9

  • Online ISBN: 978-3-319-05939-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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