Skip to main content
SpringerLink
Log in

Augmented Reality for Privacy-Sensitive Visual Monitoring

  • Conference paper
Multimedia Communications, Services and Security (MCSS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 429))

Abstract

The paper presents a method for video anonymization and replacing real human silhouettes with virtual 3D figures rendered on the screen. Video stream is processed to detect and to track objects, whereas anonymization stage employs fast blurring method. Substitute 3D figures are animated accordingly to behavior of detected persons. Their location, movement speed, direction, and person height are taken into account during the animation and rendering phases. This approach requires a calibrated camera, and utilizes results of visual object tracking. In the paper a procedure for transforming objects visual features and bounding boxes into a script for animated figures is presented. This approach is validated subjectively, by assessing a correspondence between real image and the augmented one. Conclusions and future work perspectives are provided.

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

Access this chapter

Log in via an institution
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.

References

  1. Anders, M.J.: Blender 2.49 Scripting. Packt Publishing (2010)

    Google Scholar 

  2. Bratt, B.: Rotoscoping. Focal Press (2012)

    Google Scholar 

  3. Biovision Hierarchy, http://en.wikipedia.org/wiki/Biovision_Hierarchy

  4. Cederberg, J.N.: Projective Geometry. In: A Course in Modern Geometries. Undergraduate Texts in Mathematics, pp. 213–313. Springer (2001)

    Google Scholar 

  5. Cichowski, J., Czyzewski, A.: Reversible video stream anonymization for video surveillance systems based on pixels relocation and watermarking. In: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp. 1971–1977 (2011)

    Google Scholar 

  6. Czyżewski, A., Szwoch, G., Dalka, P., Szczuko, P., Ciarkowski, A., Ellwart, D., Merta, T., Łopatka, K., Kulasek, Ł., Wolski, J.: Multi-stage video analysis framework. In: Lin, W. (ed.) Video Surveillance, ch. 9, pp. 145–171. Intech (2011)

    Google Scholar 

  7. Dalka, P.: Detection and Segmentation of Moving Vehicles and Trains Using Gaussian Mixtures, Shadow Detection and Morphological Processing. Machine Graphics and Vision 15(3/4), 339–348 (2006)

    Google Scholar 

  8. Dalka, P., Szwoch, G., Szczuko, P., Czyżewski, A.: Video Content Analysis in the Urban Area Telemonitoring System. In: Tsihrintzis, G.A., et al. (eds.) Multimedia Services in Inteligent Environments, pp. 241–261. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  9. Deutscher, J., Blake, A., Reid, I.D.: Articulated body motion capture by annealed particle filtering. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 126–133 (2000)

    Google Scholar 

  10. ITU-T recommendation P.800: Methods for subjective determination of transmission quality (1996), http://www.itu.int/rec/T-REC-P.800-199608-I/en

  11. Kakadiaris, I., Metaxas, D.: Model-based estimation of 3D human motion. IEEE Tran. Pattern Analysis and Machine Intelligence 22(12), 1453–1459 (2000)

    Article  Google Scholar 

  12. Kehl, R., Van Gool, L.: Markerless tracking of complex human motions from multiple views. Computer Vision and Image Understanding 104(2-3), 190–209 (2006)

    Article  Google Scholar 

  13. Kotus, J., Dalka, P., Szczodrak, M., Szwoch, G., Szczuko, P., Czyżewski, A.: Multimodal Surveillance Based Personal Protection System. In: Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, pp. 100–105 (2013)

    Google Scholar 

  14. Krolewski, J., Gawrysiak, P.: The Mobile Personal Augmented Reality Navigation System. In: Czachórski, T., Kozielski, S., Stańczyk, U. (eds.) Man-Machine Interactions 2. AISC, vol. 103, pp. 105–113. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Laveau, S., Faugeras, O.: Oriented projective geometry for computer vision. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1064, pp. 147–156. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  16. Moshkovitz, M.: The Virtual Studio: Technology and Techniques. Focal Press (2000)

    Google Scholar 

  17. Mullen, T.: Mastering Blender, Sybex (2012)

    Google Scholar 

  18. PETS 2006 Bemchmark Data. In: IEEE Conference on Computer Vision and Pattern Recognition 2006 (2006), http://www.cvg.rdg.ac.uk/PETS2006/data.html

  19. Rumiński, D., Walczak, K.: Creation of Interactive AR Content on Mobile Devices. In: Abramowicz, W. (ed.) BIS 2013 Workshops. LNBIP, vol. 160, pp. 258–269. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  20. Schreer, O., Kauff, P., Sikora, T. (eds.): 3D Videocommunication: Algorithms, concepts and real-time systems in human centred communication. Wiley (2005)

    Google Scholar 

  21. Szwoch, G., Dalka, P., Czyżewski, A.: Spatial Calibration of a Dual PTZ-Fixed Camera System for Tracking Moving Objects in Video. Journal of Imaging Science and Technology (JIST) 57(2), 1–10 (2013)

    Article  Google Scholar 

  22. Szczuko, P.: Hierarchical Estimation of Human Upper Body Based on 2D Observation Utilizing Evolutionary Programming and “Genetic Memory”. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 82–90. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  23. Szczuko, P.: Genetic programming extension to APF-based monocular human body pose estimation. Journal of Multimedia Tools and Applications, Multimedia Tools and Applications 68, 177–192 (2014)

    Article  Google Scholar 

  24. Szwoch, G., Dalka, P., Ciarkowski, A., Szczuko, P., Czyzewski, A.: Visual Object Tracking System Employing Fixed and PTZ Cameras. Journal of Intelligent Decision Technologies 5(2), 177–188 (2011), http://iospress.metapress.com/content/m5060n24tk125406/?p=2aa903da834b4371955e56c56b058b6b&pi=5

    Google Scholar 

  25. Szwoch, G., Dalka, P.: Layered background modeling for automatic detection of unattended objects in camera images. In: WIAMIS 2011: 12th International Workshop on Image Analysis for Multimedia Interactive Services, Delft (2011) (Preprint No. 50)

    Google Scholar 

  26. Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)

    Article  Google Scholar 

  27. University of Maryland, Guide to Authoring Media Ground Truth with ViPER-GT, http://viper-toolkit.sourceforge.net/docs/gt/

  28. Uustal, H., Baerga, E.: Gait Analysis. In: Cuccurullo, S. (ed.) Physical Medicine and Rehabilitation Board Review. Demos Medical Publishing, New York (2004), http://www.ncbi.nlm.nih.gov/books/NBK27235/

  29. Wikitude, augmented reality platform, http://www.wikitude.com/

Download references

Author information

Authors and Affiliations

  1. Multimedia Systems Department, Gdańsk University of Technology, Narutowicza 11/12, 80-233, Gdansk, Poland

    Piotr Szczuko

Authors
  1. Piotr Szczuko
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland

    Andrzej Dziech

  2. Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdansk, Poland

    Andrzej Czyżewski

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Szczuko, P. (2014). Augmented Reality for Privacy-Sensitive Visual Monitoring. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2014. Communications in Computer and Information Science, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-07569-3_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07569-3_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07568-6

  • Online ISBN: 978-3-319-07569-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation