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Extended LBP Operator to Characterize Event-Address Representation Connectivity

  • Pablo Negri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10125)

Abstract

Address-Event Representation is a flowering technology that can change the visual perception of the computer vision world. This paper proposes a methodology to associate the input data from this kind of sensors. A new descriptor computed using an extended LBP operator seeks to characterize the connectivity of the asynchronous incoming events in a two dimensional space. Those features can be organized on histograms and combined with others descriptors, as histograms of oriented events. They can be the input of traditional classifiers to detect or recognize objects from the scene.

Keywords

Local Binary Pattern Event Window Local Binary Pattern Operator Histogram Base Feature Local Binary Pattern Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work was funded by PID Nro. P16T01 (UADE, Argentine).

References

  1. 1.
    Benosman, R., Clercq, C., Lagorce, X., Ieng, S.H., Bartolozzi, C.: Event-based visual flow. IEEE Trans. Neural Netw. Learn. Syst. 25, 407–417 (2013)Google Scholar
  2. 2.
    Cevikalp, H., Triggs, B.: Efficient object detection using cascades of nearest convex model classifiers. In: CVPR, pp. 3138–3145 (2012)Google Scholar
  3. 3.
    Clady, X., Ieng, S., Benosman, R.: Asynchronous event-based corner detection and matching. Neural Netw. 66, 91–106 (2015)CrossRefGoogle Scholar
  4. 4.
    Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, vol. 1, pp. 886–893 (2005)Google Scholar
  5. 5.
    JAER: Aer dataset. http://sourceforge.net/p/jaer/wiki/AERdata/. Accessed 30 May 2015
  6. 6.
    Kramer, J.: An integrated optical transient sensor. CS 49(9), 612–628 (2002)Google Scholar
  7. 7.
    Lichtsteiner, P., Posch, C., Delbrück, T.: A 128 x 128 120 db 30 mW asynchronous vision sensor that responds to relative intensity change. In: ISSCC (2006)Google Scholar
  8. 8.
    Lichtsteiner, P., Posch, C., Delbruck, T.: A 128 * 128 120 db 15\({\upmu }\)s latency asynchronous temporal contrast vision sensor. JSSC 43(2), 566–576 (2008)Google Scholar
  9. 9.
    Mahowald, M.: An Analog VLSI System for Stereoscopic Vision. Springer Science & Business Media, Heidelberg (1994)CrossRefGoogle Scholar
  10. 10.
    Martínez-Díaz, Y., Méndez-Vázquez, H., Plasencia-Calaña, Y., García-Reyes, E.B.: Dissimilarity representations based on Multi-Block LBP for face detection. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.) CIARP 2012. LNCS, vol. 7441, pp. 106–113. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-33275-3_13 CrossRefGoogle Scholar
  11. 11.
    Negri, P., Goussies, N., Lotito, P.: Detecting pedestrians on a movement feature space. PR 47(1), 56–71 (2014)Google Scholar
  12. 12.
    Negri, P., Lotito, P.: Pedestrian detection using a feature space based on colored level lines. In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds.) CIARP 2012. LNCS, vol. 7441, pp. 885–892. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-33275-3_109 CrossRefGoogle Scholar
  13. 13.
    Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI 24(7), 971–987 (2002)CrossRefzbMATHGoogle Scholar
  14. 14.
    Orchard, G., Meyer, C., Etienne-Cummings, R., Posch, C., Thakor, N., Benosman, R.: Hfirst: a temporal approach to object recognition. To Appear in PAMI (2015)Google Scholar
  15. 15.
    Pérez-Carrasco, J., Zhao, B., Serrano, C., Acha, B., Serrano-Gotarredona, T., Chen, S., Linares-Barranco, B.: Mapping from frame-driven to frame-free event-driven vision systems by low-rate rate coding and coincidence processing-application to feedforward convnets. PAMI 35(11), 2706–2719 (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.CONICETBuenos AiresArgentine
  2. 2.Universidad Argentina de la Empresa (UADE)Buenos AiresArgentine

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