Skip to main content

Part of the book series: Philips Research ((PRBS,volume 5))

  • 659 Accesses

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Klein, L. A., 2001, Sensor Technologies and Data Requirements for ITS Applications, Artech House Publishers, Norwood, MA, USA.

    Google Scholar 

  2. Hosticka, B. J., Brockherde, W., Bussmann, A., Heimann, T., Jeremias, R., Kemna, A., Nitta, C. and Schrey, O., 2003, CMOS imaging for automotive applications, IEEE Trans. Electron Dev. 50, 173.

    Article  Google Scholar 

  3. http://www.geocities. com/a_kerenx/prince.html

  4. Lei, H. and Govindaraju, V., 2004, Direct image matching using dynamic warping, First IEEE Workshop on Face Processing in Video, Washington D.C.

    Google Scholar 

  5. Bahadori, S., Cesta, A., Grisetti, G., Iocchi, L., Leone, R., Nardi, D., Oddi, A., Pecora, F. and Rasconi, R., 2003, RoboCare: An integrated robotic system for the domestic care of the elderly, Proc. Workshop on Ambient Intelligence AI*IA-03, Pisa, Italy.

    Google Scholar 

  6. Daperno, M., Sostegni, R., Lavagna, A., Crocella, L., Ercole, E., Rigazio, C., Rocca, R. and Pera, A., 2004, Eur. Rev. Med. Pharmacol. Sci., 8, 209.

    Google Scholar 

  7. Micheloni, C., Foresti, G. L. and Snidaro, L., 2005, A network of cooperative cameras for visual-surveillance, IEE Visual, Image & Signal Processing Special Issue on Intelligent Distributed Surveillance Systems 152, 205.

    Google Scholar 

  8. Bertamini, F., Brunelli, R., Lanz, O., Roat, A., Santuari, A., Tobia, F. and Xu, Q., 2003, Olympus: An ambient intelligence architecture on the verge of reality, Proc. 12th Int. Conf. Image Analysis and Processing, 139.

    Google Scholar 

  9. Bloomfield, J., Jonsson, G. K., Polman, R., Houlahan, K. and O’Donoghue, P., 2005, Temporal pattern analysis and its applicability in soccer, in L. Anolli, S. Duncan Jr., M.S. Magnusson and G. Riva (eds), The Hidden Structure of Interaction: From Neurons to Culture Patterns, IOS Press, Amsterdam.

    Google Scholar 

  10. Manninen, T., 2003, 20 interaction manifestations in multi-player games, in G. Riva, F. Davide and W. A IJsselsteijn (eds), Being There: Concepts, Effects and Measurement of User Presence in Synthetic Environments, IOS Press, Amsterdam.

    Google Scholar 

  11. de Boom, C. W., Leijtens, J. A. P., v.Duivenbode, L. M. H. and van der Heiden, N., 2004, Micro digital sun sensor: System in a package, Proc. MEMS, NANO and Smart Systems: ICMEMS-2004, pp. 322.

    Google Scholar 

  12. Holst, G. C., 1998, CCD Arrays, Cameras, and Displays, SPIE Optical Engineering Press, Bellingham (WA).

    Google Scholar 

  13. Burke, M. W., 1996, Image Acquisition, Chapman and Hall, London (UK).

    Google Scholar 

  14. Theuwissen, A. J. P., 1995, Solid-State Imaging with Charge-Coupled Devices, Kluwer Academic Publishers, Dordrecht (Nl).

    Google Scholar 

  15. Fossum, E.R.; Theuwissen, A.J.P, et al., 1997, IEEE transactions on electron devices, Special Issue on Solid-State Image Sensors, 44, 1576-1801, IEEE Press, Piscataway (NJ).

    Google Scholar 

  16. Fossum, E.R.; Teranishi, N.; Theuwissen, A.J.P.; Hynecek, J., et al., 2003, IEEE transactions on electron devices, Special Issue on Solid-State Image Sensors, 50, 1-265, IEEE Press, Piscataway (NJ).

    Google Scholar 

  17. Interfacing a CMOS image sensor to a d module, application note, Kane Computing Ltd. UK.

    Google Scholar 

  18. McBader, S. and Lee, P., 2002, A programmable image signal processing architecture for embedded vision systems, Digital Signal Processing, 2, 1269.

    Google Scholar 

  19. Theuwissen, A. J. P., 2004, Image processing chain in digital still cameras, Proc. Symp. VLSI Circuits, pp. 2.

    Google Scholar 

  20. Lee, S. H., Kim, S. W. and Kim, S., 2004, Implementation of a low power motion detection camera processor using a CMOS image sensor, Proc. 2004 Int. Symp. Circuits and Systems, 2, 23.

    Google Scholar 

  21. Yoon, K., Kim, C., Lee, B. and Lee, D., 2002, Single-chip CMOS image sensor for mobile applications, IEEE J. Solid-State Circuits, 37, 1839.

    Article  Google Scholar 

  22. OV7640 Color CMOS VGA CameraChip, Omnivision Technologies.

    Google Scholar 

  23. Brooks, D., Tiwari, V. and Martonosi, M., 2000, Wattch: framework for architectural-level power analysis and optimizations, Proc. 27th Int. Symp. Comp. Architecture, pp. 83.

    Google Scholar 

  24. Irwin, M. J. and Narayanan, V., 1999, Energy issues in multimedia systems, IEEE Workshop Signal Processing Systems, SiPS 99, 24.

    Google Scholar 

  25. McIlrath, L. G., 2001, A low-power low-noise ultra wide-dynamic-range CMOS imager with pixel-parallel A/D conversion, IEEE Solid-State Circuits, 36,846.

    Article  Google Scholar 

  26. -Fong Yung, Y. and Bermak, A., 2004, A digital CMOS imager with pixel level analog-to-digital converter and reconfigurable SRAM/counter, Proc. 4th IEEE Int. Workshop System-on-Chip for Real-Time Applications, pp. 33.

    Google Scholar 

  27. Blanksby, A. J. and Loinaz, M. J., 2000, Performance analysis of a color CMOS photogate image sensor, IEEE Trans. Electron Devices, 47, 55.

    Article  Google Scholar 

  28. Sugiki, T., Ohsawa, S., Miura, H., Sasaki, M., Nakamura, N., Inoue, I., Hoshino, M., Tomizawa, Y. and Arakawa, T., 2000, A 60 mW 10b CMOS image sensor with column-to-column FPN reduction, IEEE Int. Solid-State Circuits Conf., 43, 108.

    Google Scholar 

  29. Findlater, K., Henderson, R., Baxter, D., Hurwitz, J. E. D., Grant, L., Cazaux, Y., Roy, F., Herault, D. and Marcellier, Y., 2003, SXGA pinned photodiode CMOS image sensor in 0:35 mm technology’’ IEEE Int. SolidState Circuits Conf., 46, 218.

    Google Scholar 

  30. Takayanagi, I., Shirakawa, M., Mitani, K., Sugawara, M., Iversen, S., Moholt, J., Nakamura, J. and Fossum, E. R., 2003, A 1¼ inch 8.3 M pixel digital output CMOS APS for UDTV application, IEEE Int. Solid-State Circuits Conf., 46, 216.

    Google Scholar 

  31. Yang, D. X. D., El Gamal, A., Fowler, B. and Tian, H., 1999, A 640 512 CMOS image sensor with ultra wide dynamic range floating-point pixel-level ADC, IEEE Int. Solid-State Circuits Conf., 42, 308.

    Google Scholar 

  32. Kleinfelder, S., Lim, S., Liu, X. and El Gamal, A., 2001, A 10 kframe/s 0.18 mm CMOS digital pixel sensor with pixel-level memory, IEEE Int. Solid-State Circuits Conf., 64, 434.

    Google Scholar 

  33. van der Poel, C., Pessolano, F., Roovers, R., Widdershoven, F., van de Walle, G., Aarts, E. and Christie, P., 2004, On ambient intelligence, needful things and process technologies, Proc. 34th European Solid-State Dev. Res. Conf., pp. 3.

    Google Scholar 

  34. Kavadias, S., Dierickx, B., Scheffer, D., Alaerts, A., Uwaerts, D. and Bogaerts, J., 2000, A logarithmic response CMOS image sensor with onchip calibration, IEEE J. Solid-State Circuits, 35, 1146.

    Article  Google Scholar 

  35. Fox, E. C., Hynecek, J. and Dykaar, D. R., 2000, Wide-dynamic-range pixel with combined linear and logarithmic response and increased signal swing, IS & T/SPIE 12th Int. Symp. Electronic Imaging, 3965A, 4.

    Google Scholar 

  36. McIlrath, L. G., Clark, V. S., Duane, P. K., McGrath, R. D. and Waskurak, W. D., 1997, Design and analysis of a 512 768 current-mediated active pixel array image sensor, IEEE Trans. Elect. Dev., 44, 1706.

    Article  Google Scholar 

  37. Boussaid, F., Bermak, A. and Bouzerdoum, A., 2004, A novel ultra-low power reset/read-out technique for megapixels current-mode CMOS imagers, IEEE Trans. Consumer Electronics, 50, 46.

    Article  Google Scholar 

  38. Wodnicki, R., Roberts, G. W. and Levine, M. D., 1995, A foveated image sensor in standard CMOS technology, Custom Integrated Circuits Conf., 15, 357.

    Google Scholar 

  39. Shi, B. E., 2000, A low-power orientation-selective vision sensor, IEEE Trans. Circuits and Systems—II, Analog and Digital Signal Processing, 47, 435.

    Article  Google Scholar 

  40. Xu, C., Zhang, W. and Chan, M., 2001, A low voltage hybrid bulk/SOI CMOS active pixel image sensor, IEEE Elec. Dev. Lett., 22, 248.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer

About this chapter

Cite this chapter

Theuwissen, A.J., Snoeij, M.F., Wang, X., Rao, P.R., Bodegom, E. (2006). CMOS Image Sensors for Ambient Intelligence. In: Mukherjee, S., Aarts, R.M., Roovers, R., Widdershoven, F., Ouwerkerk, M. (eds) AmIware Hardware Technology Drivers of Ambient Intelligence. Philips Research, vol 5. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4198-5_8

Download citation

  • DOI: https://doi.org/10.1007/1-4020-4198-5_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4197-6

  • Online ISBN: 978-1-4020-4198-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics