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VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication

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Book cover Distributed Video Sensor Networks

Abstract

Human-activity recognition is one of the most challenging problems in computer vision. Researchers from around the world have tried to solve this problem and have come a long way in recognizing simple motions and atomic activities. As the computer vision community heads toward fully recognizing human activities, a challenging and labeled dataset is needed. To respond to that need, we collected a dataset of realistic scenarios in a multi-camera network environment (VideoWeb) involving multiple persons performing dozens of different repetitive and non-repetitive activities. This chapter describes the details of the dataset. We believe that this VideoWeb Activities dataset is unique and it is one of the most challenging datasets available today. The dataset is publicly available online at http://vwdata.ee.ucr.edu/ along with the data annotation.

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References

  1. Nguyen, H., Bhanu, B., Patel, A., Diaz, R.: VideoWeb: Design of a wireless camera network for real-time monitoring of activities. In: Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy, 30 August–2 September 2009

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  2. Nguyen, H., Bhanu, B.: Videoweb-optimizing a wireless camera network for surveillance. In: Bhanu, B., Ravishankar, C., Roy Chowdhury, A., Terzopoulos, D., Aghajan, H. (eds.) Distributed Video Sensor Networks. Springer, Berlin (2010), Chapter 22

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  3. Andersen, P.: Nonverbal Communication. Waveland Press, Long Grove (2008)

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Acknowledgements

This work was supported in part by ONR grant N00014-07-C-0311, N00014-07-1-0931 and NSF grants IIS 0551741 and ENGR 0622176.

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Authors and Affiliations

  1. University of California, Riverside, Riverside, CA, 92521, USA

    Giovanni Denina, Bir Bhanu, Hoang Thanh Nguyen, Chong Ding, Ahmed Kamal, Chinya Ravishankar, Amit Roy-Chowdhury, Allen Ivers & Brenda Varda

Authors
  1. Giovanni Denina
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  2. Bir Bhanu
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  3. Hoang Thanh Nguyen
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  4. Chong Ding
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  5. Ahmed Kamal
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  6. Chinya Ravishankar
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  7. Amit Roy-Chowdhury
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  8. Allen Ivers
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  9. Brenda Varda
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Corresponding author

Correspondence to Giovanni Denina .

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Editors and Affiliations

  1. Center for Research, Intelligent Systems, University of California, Riverside, Riverside, 92521, California, USA

    Bir Bhanu

  2. Dept. Computer Science & Engineering, University of California, Riverside, Riverside, 92521, California, USA

    Chinya V. Ravishankar

  3. Dept. Electrical Engineering, University of California, Riverside, Riverside, 92521, California, USA

    Amit K. Roy-Chowdhury

  4. Dept. Electrical Engineering, Packard Bldg., Stanford University, Serra Mall 350, Stanford, 94305-9505, California, USA

    Hamid Aghajan

  5. Dept. Computer Science, University of California, Los Angeles, Boelter Hall 4731, Los Angeles, 90095-1596, California, USA

    Demetri Terzopoulos

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© 2011 Springer-Verlag London Limited

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Denina, G. et al. (2011). VideoWeb Dataset for Multi-camera Activities and Non-verbal Communication. In: Bhanu, B., Ravishankar, C., Roy-Chowdhury, A., Aghajan, H., Terzopoulos, D. (eds) Distributed Video Sensor Networks. Springer, London. https://doi.org/10.1007/978-0-85729-127-1_23

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  • DOI: https://doi.org/10.1007/978-0-85729-127-1_23

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-126-4

  • Online ISBN: 978-0-85729-127-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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