Image-based Location Recognition and Scenario Modelling

Carlos Orrite, Juan Soler, Mario Rodriguez, Elías Herrero, Roberto Casas

Abstract

This work presents a significant improvement of the state regarding intelligent environments developed to support the independent living of users with special needs. By automatically registering all the pictures taken by a wearable camera and using them to reconstruct the living scenario, our proposal allows tracking of a subject in living scenario, recognising the localization of new images, and contextually organize them along the time, to make feasible the subsequent context - dependent recall. This application can be useful from an entertainment point of view (in the same way we like to see old pictures) to more serious applications related to cognitive rehabilitation through recall.

References

  1. Snavely, N., Seitz, S. M., Szeliski, R., 2008. Modeling the World from Internet Photo Collections. In Int. J. Comput. Vision.
  2. Lowe, D., 2004. Distinctive Image Features from ScaleInvariant Keypoints. In Int. J. Comput. Vision, 60 (29), pp. 91-110.
  3. Fischler, Martin A., Bolles, Robert C., 1981. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. In Communications of the ACM, pp. 381-395.
  4. Hartley, R. I., Zisserman, A., 2004. Multiple View Geometry in Computer Vision. The Cambridge University Press.
  5. Changchang W., VisualFSM. http://ccwu.me/vsfm/ Cao, S., Snavely, N., 2013. Graph-Based Discriminative Learning for Location Recognition. In 'CVPR' , IEEE, pp. 700-707.
  6. Wang, L., Geng, X., Bezdek, J., Leckie, C., Ramamohanarao, K., 2010. Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. In IEEE Transactions on Knowledge & Data Engineering, vol.22, no. 10, pp. 1401-1414.
  7. Chew, L. P., 1987. Constrained Delaunay Triangulations. In Proceedings of the Third Annual Symposium on Computational Geometry, pp. 215-222.
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Paper Citation


in Harvard Style

Orrite C., Soler J., Rodriguez M., Herrero E. and Casas R. (2015). Image-based Location Recognition and Scenario Modelling . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 216-221. DOI: 10.5220/0005352702160221


in Bibtex Style

@conference{visapp15,
author={Carlos Orrite and Juan Soler and Mario Rodriguez and Elías Herrero and Roberto Casas},
title={Image-based Location Recognition and Scenario Modelling},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005352702160221},
isbn={978-989-758-089-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Image-based Location Recognition and Scenario Modelling
SN - 978-989-758-089-5
AU - Orrite C.
AU - Soler J.
AU - Rodriguez M.
AU - Herrero E.
AU - Casas R.
PY - 2015
SP - 216
EP - 221
DO - 10.5220/0005352702160221