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Human Object Classification Using Dual Tree Complex Wavelet Transform and Zernike Moment

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XVI

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 8960))

Abstract

Presence of variety of objects degrade the performance of video surveillance system as a certain type of objects can be misclassified as some other types of object. Recent researches in video surveillance are focused on accurate classification of human objects. Classification of human objects is a crucial problem, as accurate human object classification is a desirable task for better performance of video surveillance system. In this paper we have proposed a method for human object classification, which classify the objects present in a scene into two classes: human and non-human. The proposed method uses combination of Dual tree complex wavelet transform and Zernike moment as feature of object. We have used support vector machine (SVM) as a classifier for classification of objects. The proposed method has been tested on standard dataset like INRIA person dataset. Quantitative experimental results shows that the proposed method is better than other state-of-the-art methods and gives better performance for human object classification.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication, University of Allahabad, Allahabad, India

    Manish Khare & Rajneesh Kumar Srivastava

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

    Nguyen Thanh Binh

Authors
  1. Manish Khare
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  2. Nguyen Thanh Binh
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  3. Rajneesh Kumar Srivastava
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Corresponding author

Correspondence to Nguyen Thanh Binh .

Editor information

Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. FAW, University of Linz, Linz, Austria

    Josef Küng

  3. FAW, University of Linz, Linz, Austria

    Roland Wagner

  4. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  5. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Nam Thoai

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Khare, M., Binh, N.T., Srivastava, R.K. (2014). Human Object Classification Using Dual Tree Complex Wavelet Transform and Zernike Moment. In: Hameurlain, A., Küng, J., Wagner, R., Dang, T., Thoai, N. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XVI. Lecture Notes in Computer Science(), vol 8960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45947-8_7

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  • DOI: https://doi.org/10.1007/978-3-662-45947-8_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45946-1

  • Online ISBN: 978-3-662-45947-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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