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Facial Reconstruction on the Basis of Video Surveillance System for the Purpose of Suspect Identification

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Intelligent Information and Database Systems (ACIIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9622))

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Abstract

Growing importance and commonness of video surveillance systems brings new possibilities in the area of crime suspect identification. While suspects can be recognized on video recordings, it is often a difficult task, because in most cases parts of suspect’s face are occluded. Even if there are multiple cameras, and the recordings are long enough to expose entirety of suspect’s face, it is challenging for an observer to accumulate information from different cameras and frames. We propose to solve this problem by reconstructing a three-dimensional mesh that could be presented to an observer, so he could identify suspect based on accumulated information rather than fragmented one, while choosing any angle of observation. Our approach is based on extraction of anthropological features, so that even with imperfect recordings, the most important features in terms of facial recognition are preserved, while those not registered might be supplemented with generic facial surface.

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Acknowledgments

This work has been supported by the National Centre for Research and Development (project UOD-DEM-1-183/001 “Intelligent video analysis system for behavior and event recognition in surveillance networks”)

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Authors and Affiliations

  1. Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Damian Pęszor & Marzena Wojciechowska

  2. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Damian Pęszor & Michał Staniszewski

Authors
  1. Damian Pęszor
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  2. Michał Staniszewski
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  3. Marzena Wojciechowska
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Corresponding author

Correspondence to Damian Pęszor .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Pęszor, D., Staniszewski, M., Wojciechowska, M. (2016). Facial Reconstruction on the Basis of Video Surveillance System for the Purpose of Suspect Identification. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49390-8_46

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  • DOI: https://doi.org/10.1007/978-3-662-49390-8_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49389-2

  • Online ISBN: 978-3-662-49390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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