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Multi-camera Human Action Recognition

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Computer Vision

Synonyms

Activity analysis; Behavior understanding

Related Concepts

Gesture Recognition; Human Pose Estimation

Definition

Multi-camera human action recognition deals with using multiple cameras to capture several views of humans engaged in various activities and then combining the information gleaned from the cameras for the classification of those activities.

Background

Research on human activity recognition gathered momentum in the mid- to late 1990s; much early work is summarized in a review by Aggarwal and Cai [1]. There emerged two dominant approaches during this period: (1) state-space modeling of human actions [2,  3]; and (2) template matching [4,  5]. The focus during that early phase of this research was primarily on recognizing human activities on the basis of the images collected by a single camera. While this is still an active research area in computer vision (see Aggarwal and Ryoo [6] for a survey), it unfortunately suffers from several serious shortcomings, many of them...

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References

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, 47907-1285, West Lafayette, IN, USA

    Gaurav Srivastava

  2. School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, 47907-1285, West Lafayette, IN, USA

    Johnny Park

  3. School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, 47907-1285, West Lafayette, IN, USA

    Avinash C. Kak

  4. Department of Electrical and Computer Engineering, The University of Texas at Austin, 1 University Station C0803, 78712, Austin, TX, USA

    Birgi Tamersoy

  5. Department of Electrical and Computer Engineering, The University of Texas at Austin, 1 University Station C0803, 78712 0240, Austin, TX, USA

    J. K. Aggarwal

Authors
  1. Gaurav Srivastava
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  2. Johnny Park
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  3. Avinash C. Kak
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  4. Birgi Tamersoy
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  5. J. K. Aggarwal
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Corresponding author

Correspondence to Gaurav Srivastava .

Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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Srivastava, G., Park, J., Kak, A.C., Tamersoy, B., Aggarwal, J.K. (2014). Multi-camera Human Action Recognition. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_776

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