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Motion Detection Using Color Space-Time Interest Points

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Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 380))

Abstract

Detecting moving objects in sequences is an essential step for video analysis. Among all the features which can be extracted from videos, we propose to use Space-Time Interest Points (STIP). STIP are particularly interesting because they are simple and robust low-level features providing an efficient characterization of moving objects within videos. In general, Space-Time Interest Points are based on luminance, and color has been largely ignored. However, the use of color increases the distinctiveness of Space-Time Interest Points. This paper mainly contributes to the Color Space-Time Interest Points (CSTIP) extraction and detection. To increase the robustness of CSTIP features extraction, we suggest a pre-processing step which is based on a Partial Differential Equation (PDE) and can decompose the input images into a color structure and texture components. Experimental results are obtained from very different types of videos, namely sport videos and animation movies.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Sidi Mohamed Ben Abdellah University LIIAN, Fez, Morocco

    Insaf Bellamine & Hamid Tairi

Authors
  1. Insaf Bellamine
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  2. Hamid Tairi
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Corresponding author

Correspondence to Insaf Bellamine .

Editor information

Editors and Affiliations

  1. National School of Applied Sciences of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Ahmed El Oualkadi

  2. Technopark el Ghazala, Sup’Com, Ghazala, Tunisia

    Fethi Choubani

  3. National School of Applied Sciences, Oujda, Mohammed Premier University, Oujda, Morocco

    Ali El Moussati

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Bellamine, I., Tairi, H. (2016). Motion Detection Using Color Space-Time Interest Points. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-319-30301-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-30301-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30299-7

  • Online ISBN: 978-3-319-30301-7

  • eBook Packages: EngineeringEngineering (R0)

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