On the advantages of asynchronous pixel reading and processing for high-speed motion estimation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5358 LNCS, Issue PART 1, 2008, Pages 205-215

  Pardo, Fernando ^a   Boluda, Jose A ^a   Vegara, Francisco ^a   Zuccarello, Pedro ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH REQUIREMENT; BIOLOGICALLY INSPIRED; CLASSICAL APPROACH; HIGH-SPEED MOTION; ORDERS OF MAGNITUDE; PIXEL PROCESSING; RESPONSE DELAYS; SHORT TIME INTERVALS; SIMULATED EXPERIMENTS; VISUAL SYSTEMS;

COMPUTER SCIENCE; MOTION ESTIMATION;

PIXELS;

EID: 68649104473     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89639-5_20     Document Type: Conference Paper

References (14)

1. Pardo, F., Dierickx, B., Scheffer, D.: Space-Variant Non-Orthogonal Structure CMOS Image Sensor Design. IEEE Journal of Solid State Circuits 33(6), 842-849 (1998)
2. Kameda, S., Yagi, T.: A silicon retina system that calculates direction of motion. In: Int. Symposium on Circuits and Systems, ISCAS 2003, Bangkok, Thailand, vol. 4, pp. 792-795 (2003)
3. Culurciello, E., Etienne-Cummings, R.: A biomorphic digital image sensor. IEEE Journal of Solid State Circuits 38, 281-294 (2003)
4. Philipp, R.M., Etienne-Cummings, R.: Single-Chip Stereo Imager. Analog Integrated Circuits and Signal Processing 39, 237-250 (2004)
5. Higgins, C.M., Koch, C.: A Modular Multi-Chip Neuromorphic Architecture for Real-Time Visual Motion Processing. Analog Integrated Circuits and Signal Processing 24, 195-211 (2000)
6. Ozalevli, E., Higgins, C.M.: Reconfigurable Biologically Inspired Visual Motion Systems Using Modular Neuromorphic VLSI Chips. IEEE Transactions on Circuits and Systems 52, 79-92 (2005)
7. Pardo, F., Boluda, J.A., Benavent, X., Domingo, J., Sosa, J.C.: Circle detection and tracking speed-up based on change-driven image processing. In: International Conference on Graphics, Vision and Image Processing, ICGST 2005, Cairo, Egypt, pp. 131-136 (2005)
8. Boluda, J.A., Pardo, F.: Speeding-up differential motion detection algorithms using a change-driven data flow processing strategy. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds.) CAIP 2007. LNCS, vol. 4673, pp. 77-84. Springer, Heidelberg (2007)
9. Oster, M., Liu, S.C.: A winner-take-all spiking network with spiking inputs. In: IEEE International Conference on Electronics, Circuits and Systems ICECS 2004, Tel Aviv, Israel, vol. 11, pp. 203-206 (2004)
10. Lichtsteiner, P., Delbruck, T., Kramer, J.: Improved on/off temporaly differentiating address-event imager. In: IEEE International Conference on Electronics, Circuits and Systems ICECS 2004, Tel Aviv, Israel, vol. 11, pp. 211-214 (2004)
11. Kramer, J.: An on/off transient imager with event-driven, asynchronous read-out. In: Int. Symposium on Circuits and Systems, ISCAS 2002, Phoenix, AZ, USA, pp. 165-168 (2002)
12. Aizawa, K., Egi, Y., Hamamoto, T., Hatori, M., Abe, M., Maruyama, H., Otake, H.: Computational image sensor for on sensor compression. IEEE Transactions on Electron Devices 44, 1724-1730 (1997)
13. Hamamoto, T., Ooi, R., Ohtsuka, Y., Aizawa, K.: Real-time image processing by using image compression sensor. In: International Conference on Image Processing, ICIP 1999, vol. 3, pp. 935-939 (1999)
14. Indiveri, G., Oswald, P., Kramer, J.: An adaptive visual tracking sensor with a hysteretic winner-take-all network. In: Int. Symposium on Circuits and Systems, ISCAS 2002, Phoenix, AZ, USA, pp. 324-327 (2002)