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Human Detection for a Video Surveillance Applied in the ‘SmartMonitor’ System

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Computer Vision and Graphics (ICCVG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8671))

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Abstract

Human detection is one of the key and crucial tasks in video surveillance systems and is important for the purpose of object tracking, fall detection, human gait analysis or abnormal event detection. This paper concerns the application of two classifiers for human detection in the ‘SmartMonitor’ system — an intelligent security system based on image analysis. The classifiers are based on the Histogram of Oriented Gradients (HOG) descriptor and simple Haar-like features. The paper provides a brief description of the main system characteristics, discusses the problem of human detection and includes some results of the experiments performed using various parameters of HOG and Haar classifiers that were trained using benchmark databases and tested using appropriate video sequences. The paper aims at investigating the effectiveness and performance of both methods applied separately before incorporating them into the ‘SmartMonitor’ system’s video processing model.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Żołnierska 52, 71-210, Szczecin, Poland

    Dariusz Frejlichowski, Katarzyna Gościewska & Paweł Forczmański

  2. Smart Monitor sp. z o.o., Niemierzyńska 17a, 71-441, Szczecin, Poland

    Katarzyna Gościewska & Radosław Hofman

Authors
  1. Dariusz Frejlichowski
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  2. Katarzyna Gościewska
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  3. Paweł Forczmański
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  4. Radosław Hofman
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Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences (SGGW), Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences - SGGW, Nowoursynowska str. 159, 02-776, Warsaw, Poland

    Ryszard Kozera

  3. The .enpeda.. Project, The University of Auckland, New Zealand

    Bok-Suk Shin

  4. Institute of Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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Frejlichowski, D., Gościewska, K., Forczmański, P., Hofman, R. (2014). Human Detection for a Video Surveillance Applied in the ‘SmartMonitor’ System. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_27

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  • DOI: https://doi.org/10.1007/978-3-319-11331-9_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11330-2

  • Online ISBN: 978-3-319-11331-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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