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A Novel Approach for Human Silhouette Extraction from Video Data

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Advanced Computing and Systems for Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 568))

Abstract

In this paper we propose a method for efficient extraction of human silhouette from video sequences. The proposed approach includes background elimination, edge detection, region filling and noise removal using morphological operations to estimate the silhouette of an image. To the best of our knowledge our proposed approach for silhouette extraction involving background elimination and edge detection is first of its kind. We have applied our proposed technique on Weizmann (standard) dataset and compared the results with the most recent related research work. The comparison results in terms of statistical measures like precision, recall and F-measure clearly show the supremacy of our method and thus justify its novelty.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, B. P. Poddar Institute of Management & Technology, 137, VIP Road, Kolkata-52, India

    Amlan Raychaudhuri

  2. A. K. Choudhury School of Information Technology, University of Calcutta, JD-2, JD Block, Sector-III, Kolkata-98, India

    Satyabrata Maity & Amlan Chakrabarti

  3. Department of Computer Science and Engineering, Jadavpur University, 188, Raja S. C. Mallick Road, Kolkata-32, India

    Debotosh Bhattacharjee

Authors
  1. Amlan Raychaudhuri
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  2. Satyabrata Maity
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  3. Amlan Chakrabarti
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  4. Debotosh Bhattacharjee
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Corresponding author

Correspondence to Amlan Raychaudhuri .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Tec, Associate Prof., University of Calcutta A.K. Choudhury School of Information Tec, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Faculty of Computer Science, Bialystok University of Technology Faculty of Computer Science, Bialystok, Poland

    Khalid Saeed

  3. DAIS—Università Ca' Foscari, Full Professor of Computer Science DAIS—Università Ca' Foscari, Mestre, Venice, Venezia, Italy

    Agostino Cortesi

  4. Computer Science & Engineering, University of Calcutta Computer Science & Engineering, Kolkata, West Bengal, India

    Nabendu Chaki

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Raychaudhuri, A., Maity, S., Chakrabarti, A., Bhattacharjee, D. (2017). A Novel Approach for Human Silhouette Extraction from Video Data. In: Chaki, R., Saeed, K., Cortesi, A., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 568. Springer, Singapore. https://doi.org/10.1007/978-981-10-3391-9_8

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  • DOI: https://doi.org/10.1007/978-981-10-3391-9_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3390-2

  • Online ISBN: 978-981-10-3391-9

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