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Action Recognition and Human Interaction

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Human Activity Recognition and Prediction

Abstract

Recognizing human activities is a fundamental problem in the computer vision community and is a key step toward the automatic understanding of scenes.

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Notes

  1. 1.

    In this chapter, we use interactive phrases and phrases interchangeably.

  2. 2.

    Please refer to the supplemental material to see details about the connectivity patterns of interactive phrases and attributes.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA

    Yu Kong

  2. Department of Electrical and Computer Engineering and College of Computer and Information Science (Affiliated), Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, USA

    Yun Fu

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  1. Yu Kong
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  2. Yun Fu
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Correspondence to Yu Kong .

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Editors and Affiliations

  1. Northeastern University, Boston, Massachusetts, USA

    Yun Fu

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Kong, Y., Fu, Y. (2016). Action Recognition and Human Interaction. In: Fu, Y. (eds) Human Activity Recognition and Prediction. Springer, Cham. https://doi.org/10.1007/978-3-319-27004-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-27004-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27002-9

  • Online ISBN: 978-3-319-27004-3

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