VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina

Fernando Perez-Peña, Arturo Morgado-Estevez, Rafael J. Montero-Gonzalez, Alejandro Linares-Barranco, Gabriel Jimenez-Moreno

2011

Abstract

Nowadays we live in very industrialization world that turns worried about surveillance and with lots of occupational hazards. The aim of this paper is to supply a surveillance video system to use at ultra fast industrial environments. We present an exhaustive timing analysis and comparative between two different Address Event Representation (AER) retinas, one with 64x64 pixel and the other one with 128x128 pixel in order to know the limits of them. Both are spike based image sensors that mimic the human retina and designed and manufactured by Delbruck’s lab. Two different scenarios are presented in order to achieve the maximum frequency of light changes for a pixel sensor and the maximum frequency of requested pixel addresses on the AER output. Results obtained are 100 Hz and 1.88 MHz at each case for the 64x64 retina and peaks of 1.3 KHz and 8.33 MHz for the 128x128 retina. We have tested the upper spin limit of an ultra fast industrial machine and found it to be approximately 6000 rpm for the first retina and no limit achieve at top rpm for the second retina. It has been tested that in cases with high light contrast no AER data is lost.

References

  1. Fookes, C., Denman, S., Lakemond, et al. 2010. SemiSupervised Intelligent Surveillance System for Secure Environments.
  2. Fookes, C., Denman, S., Lakemond, et al. 2010. SemiSupervised Intelligent Surveillance System for Secure Environments.
  3. Messinger, G. and G. Goldberg. 2006. Autonomous Vision Networking - Miniature Wireless Sensor Networks with Imaging Technology. Proceedings of SPIE - The International Society for Optical Engineering.
  4. Messinger, G. and G. Goldberg. 2006. Autonomous Vision Networking - Miniature Wireless Sensor Networks with Imaging Technology. Proceedings of SPIE - The International Society for Optical Engineering.
  5. He, C., Papakonstantinou, A. and Chen, D. 2009. A Novel SoC Architecture on FPGA for Ultra Fast Face Detection.
  6. He, C., Papakonstantinou, A. and Chen, D. 2009. A Novel SoC Architecture on FPGA for Ultra Fast Face Detection.
  7. Linsenmeier, Robert A. 2005. Retinal Bioengineering. 421-84.
  8. Linsenmeier, Robert A. 2005. Retinal Bioengineering. 421-84.
  9. Lichtsteiner, P. and Delbruck, T. 2005. A 64×64 AER Logarithmic Temporal Derivative Silicon Retina. Paper presented at 2005 PhD Research in Microelectronics and Electronics Conference. Lausanne. 25 July 2005 through 28 July 2005.
  10. Lichtsteiner, P. and Delbruck, T. 2005. A 64×64 AER Logarithmic Temporal Derivative Silicon Retina. Paper presented at 2005 PhD Research in Microelectronics and Electronics Conference. Lausanne. 25 July 2005 through 28 July 2005.
  11. Lichtsteiner, P., C. Posch and T. Delbruck. 2008. A 128x128 120 dB 15 µs Latency Asynchronous Temporal Contrast Vision Sensor. Solid-State Circuits, IEEE Journal of 43:566-76.
  12. Lichtsteiner, P., C. Posch and T. Delbruck. 2008. A 128x128 120 dB 15 µs Latency Asynchronous Temporal Contrast Vision Sensor. Solid-State Circuits, IEEE Journal of 43:566-76.
  13. Mead, C. A. and M. A. Mahowald. 1988. A Silicon Model of Early Visual Processing. Neural Networks 1:91-7.
  14. Mead, C. A. and M. A. Mahowald. 1988. A Silicon Model of Early Visual Processing. Neural Networks 1:91-7.
  15. Boahen, K. 1996. Retinomorphic Vision Systems. Paper presented at Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on.
  16. Boahen, K. 1996. Retinomorphic Vision Systems. Paper presented at Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on.
  17. Culurciello, E., R. Etienne-Cummings and K. A. Boahen. 2003. A Biomorphic Digital Image Sensor. Solid-State Circuits, IEEE Journal of 38:281-94.
  18. Culurciello, E., R. Etienne-Cummings and K. A. Boahen. 2003. A Biomorphic Digital Image Sensor. Solid-State Circuits, IEEE Journal of 38:281-94.
  19. Sivilotti, M.: Wiring Considerations in Analog VLSI Systems with Application to Field-Programmable Networks, Ph.D. Thesis, California Institute of Technology, Pasadena CA (1991).
  20. Sivilotti, M.: Wiring Considerations in Analog VLSI Systems with Application to Field-Programmable Networks, Ph.D. Thesis, California Institute of Technology, Pasadena CA (1991).
  21. Serrano-Gotarredona, R., Oster, M., et al. 2009. CAVIAR: A 45k Neuron, 5M Synapse, 12G connects/s AER Hardware Sensory-Processing-Learning-Actuating System for High-Speed Visual Object Recognition and Tracking. IEEE Transactions on Neural Networks 20:1417-38.
  22. Serrano-Gotarredona, R., Oster, M., et al. 2009. CAVIAR: A 45k Neuron, 5M Synapse, 12G connects/s AER Hardware Sensory-Processing-Learning-Actuating System for High-Speed Visual Object Recognition and Tracking. IEEE Transactions on Neural Networks 20:1417-38.
  23. Berner, R., Delbruck, T., et al. 2007. A 5 Meps $100 USB2.0 Address-Event Monitor-Sequencer Interface. Paper presented at 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007. New Orleans, LA. 27 May 2007 through 30 May 2007.
  24. Berner, R., Delbruck, T., et al. 2007. A 5 Meps $100 USB2.0 Address-Event Monitor-Sequencer Interface. Paper presented at 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007. New Orleans, LA. 27 May 2007 through 30 May 2007.
  25. Pérez-Peña F., Morgado-Estevez A., Linares-Barranco A. et al. 2011. Frequency Analysis of a 64x64 pixel Retinomorphic System with AER output to estimate the limits to apply onto specific mechanical environment. Proceedings presented at International Work Conference on Artificial Neural Networks, IWANN'11.
  26. Pérez-Peña F., Morgado-Estevez A., Linares-Barranco A. et al. 2011. Frequency Analysis of a 64x64 pixel Retinomorphic System with AER output to estimate the limits to apply onto specific mechanical environment. Proceedings presented at International Work Conference on Artificial Neural Networks, IWANN'11.
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Paper Citation


in Harvard Style

Perez-Peña F., Morgado-Estevez A., J. Montero-Gonzalez R., Linares-Barranco A. and Jimenez-Moreno G. (2011). VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011) ISBN 978-989-8425-72-0, pages 131-134. DOI: 10.5220/0003521701310134


in Harvard Style

Perez-Peña F., Morgado-Estevez A., J. Montero-Gonzalez R., Linares-Barranco A. and Jimenez-Moreno G. (2011). VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011) ISBN 978-989-8425-72-0, pages 131-134. DOI: 10.5220/0003521701310134


in Bibtex Style

@conference{sigmap11,
author={Fernando Perez-Peña and Arturo Morgado-Estevez and Rafael J. Montero-Gonzalez and Alejandro Linares-Barranco and Gabriel Jimenez-Moreno},
title={VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011)},
year={2011},
pages={131-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003521701310134},
isbn={978-989-8425-72-0},
}


in Bibtex Style

@conference{sigmap11,
author={Fernando Perez-Peña and Arturo Morgado-Estevez and Rafael J. Montero-Gonzalez and Alejandro Linares-Barranco and Gabriel Jimenez-Moreno},
title={VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011)},
year={2011},
pages={131-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003521701310134},
isbn={978-989-8425-72-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011)
TI - VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina
SN - 978-989-8425-72-0
AU - Perez-Peña F.
AU - Morgado-Estevez A.
AU - J. Montero-Gonzalez R.
AU - Linares-Barranco A.
AU - Jimenez-Moreno G.
PY - 2011
SP - 131
EP - 134
DO - 10.5220/0003521701310134


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2011)
TI - VIDEO SURVEILLANCE AT AN INDUSTRIAL ENVIRONMENT USING AN ADDRESS EVENT VISION SENSOR - Comparative between Two Different Video Sensor based on a Bioinspired Retina
SN - 978-989-8425-72-0
AU - Perez-Peña F.
AU - Morgado-Estevez A.
AU - J. Montero-Gonzalez R.
AU - Linares-Barranco A.
AU - Jimenez-Moreno G.
PY - 2011
SP - 131
EP - 134
DO - 10.5220/0003521701310134