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Moment Shape Descriptors Applied for Action Recognition in Video Sequences

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

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Abstract

Algorithms for recognition of human activities have found application in many computer vision systems, for example in visual content analysis approaches and in video surveillance systems, where they can be employed for the recognition of single gestures, simple actions, interactions and even behaviour. In this paper an approach for human action recognition based on shape analysis is presented. Set of binary silhouettes extracted from video sequences representing a person performing an action are used as input data. The developed approach is composed of several algorithms including those for shape representation and matching. It can deal with sequences of different number of frames and none of them has to be removed. The paper provides some initial experimental results on classification using proposed approach and moment shape description algorithms, namely the Zernike Moments, Moment Invariants and Contour Sequence Moments.

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Authors and Affiliations

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

    Katarzyna Gościewska & Dariusz Frejlichowski

Authors
  1. Katarzyna Gościewska
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  2. Dariusz Frejlichowski
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Corresponding author

Correspondence to Dariusz Frejlichowski .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

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Gościewska, K., Frejlichowski, D. (2017). Moment Shape Descriptors Applied for Action Recognition in Video Sequences. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_19

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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