Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

PAM-Based Behavior Modelling

  • Conference paper
Ambient Assisted Living and Daily Activities (IWAAL 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8868))

Included in the following conference series:

  • 2817 Accesses

Abstract

A novel approach for human behavior modelling is represented in this paper based on the Pachinko Allocation Model (PAM) algorithm for the video-based road surveillance. In particular, the authors focus on the behavior analysis and modelling for learning and training as the main distribution of this research. Sparse object features in sequence of frames are modelled into activities and behaviors with full topic correlations to avoid omissions of small activities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Oliver, N., Rosario, B., Pentland, A.: A bayesian computer vision system for modeling human interactions. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 831–843 (2000)

    Article  Google Scholar 

  2. Xiang, T., Gong, S.: Video behavior profiling for anomaly detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(5), 893–908 (2008)

    Article  Google Scholar 

  3. Brand, M., Kettnaker, V.: Discovery and segmentation of activities in video. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 844–851 (2008)

    Article  Google Scholar 

  4. Xiang, T., Gong, S.: Beyond tracking: Modelling activity and understanding behaviour. Int J. Comput. Vis. 67(1), 21–51 (2006)

    Article  Google Scholar 

  5. Zhao, L., Shang, L., Gao, Y., Yang, Y., Jia, X.: Video behavior analysis using topic models and rough sets [applications notes]. IEEE Comput. Intell. Mag. 8(1), 56–67 (2013)

    Article  Google Scholar 

  6. Wang, X., Ma, X., Grimson, W.: Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. IEEE Trans. Pattern Anal. Mach. Intell. 31(3), 539–555 (2009)

    Article  Google Scholar 

  7. Li, W., McCallum, A.: Pachinko allocation dag-structured mixture models of topic correlations. In: 23th International Conference on Machine Learning, pp. 557–584. ACM Press, New York (2006)

    Google Scholar 

  8. QMUL Junction Dataset, http://www.eecs.qmul.ac.uk/~ccloy/downloads_qmul_junction.html

Download references

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Kyung Hee University, Gyeonggi-do, 446-701, Korea

    Thien Huynh-The, Ba-Vui Le, Muhammad Fahim & Sungyoung Lee

  2. Department of Multimedia Science, Sookmyung Women University, Korea

    Yongik Yoon

  3. Department of Computing and Information Systems, University of Tasmania, Australia

    Byeong Ho Kang

Authors
  1. Thien Huynh-The
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ba-Vui Le
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Muhammad Fahim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sungyoung Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yongik Yoon
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Byeong Ho Kang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Engineering, University of Warwick, CV4 7AL, Coventry, UK

    Leandro Pecchia

  2. School of Computer Science and Informatics, De Montfort University, The Gateway, LE1 9BH, Leicester, UK

    Liming Luke Chen

  3. Institute, School of Computing and Mathematics, University of Ulster, Computer Science Research, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad, Real, Spain

    José Bravo

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Huynh-The, T., Le, BV., Fahim, M., Lee, S., Yoon, Y., Kang, B.H. (2014). PAM-Based Behavior Modelling. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13105-4_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13104-7

  • Online ISBN: 978-3-319-13105-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation