Visual system based on artificial retina for motion detection

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 39, Issue 3, 2009, Pages 752-762

  Barranco, Francisco ^a   Díaz, Javier ^a   Ros, Eduardo ^a   del Pino, Begoña ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Artificial retina; Bioinspired vision; Block matching; Motion processing; Multiscale motion estimation; Rank order coding; Retinomorphic chip

Indexed keywords

ARTIFICIAL RETINA; BIOINSPIRED VISION; BLOCK MATCHING; MOTION PROCESSING; MULTISCALE MOTION ESTIMATION; RANK-ORDER CODING; RETINOMORPHIC CHIP;

MOTION COMPENSATION; NEURAL NETWORKS;

MOTION ESTIMATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CYBERNETICS; IMAGE ENHANCEMENT; IMAGE PROCESSING; METHODOLOGY; MOTION; PHYSIOLOGY; RETINA; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CYBERNETICS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; MOTION; RETINA; TIME FACTORS;

EID: 65549123209     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.2009067     Document Type: Article

References (22)

1. J. T. Martin, An Introduction to the Visual System. Cambridge, U.K.: Cambridge Univ. Press, 1996.
2. K. Nakayama, "Biological image motion processing: A review," Vis. Res., vol. 25, no. 5, pp. 625-660, Nov. 1985.
3. D. H. Hubel and T. N. Wiesel, "Receptive fields, binocular interactions and functional architecture in the cat's visual cortex," J. Physiol. vol. 160, pp. 106-154, 1962.
4. E. H. Adelson and J. R. Bergen, "The extraction of spatio-temporal energy in human and machine vision," in Proc. IEEE Workshop Motion: Representation Anal., 1986, pp. 151-155.
5. D. J. Heeger, "Model for the extraction of image flow," J. Opt. Soc. Amer. A, Opt. Image Sci., vol. 4, no. 8, pp. 1455-1471, Aug. 1987.
6. E. P. Simoncelli and D. J. Heeger, "A model of neuronal responses in visual axea MT," Vis. Res., vol. 38, no. 5, pp. 743-761, Mar. 1998.
7. E. P. Simoncelli, "Distributed analysis and representation of visual motion," Ph.D. dissertation, MIT, Cambridge, MA, 1993.
8. S. Mota, E. Ros, J. Díaz, E. M. Ortigosa, and A. Prieto, "Motion-driven segmentation by competitive neural processing," Neural Process. Lett., vol. 22, no. 2, pp. 125-147, Oct. 2005.
9. E. H. Adelson and P. J. Burt, "The Laplacian pyramid as a compact image code," IEEE Trans. Commun., vol. COM-31, no. 4, pp. 532-540, Apr. 1983.
10. E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, and J. M. Ogden, "Pyramid methods in image processing," RCA Eng., vol. 29, no. 6, pp. 33-41, Nov./Dec. 1984.
11. V. Willert, J. Eggert, J. Adamy, and E. Körner, "Non-Gaussian velocity distributions integrated over space, time, and scales," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 3, pp. 482-493, Jun. 2006.
12. L. Perrinet, M. Samuelides, and S. Thorpe, "Coding static natural images using spiking event times: Do neurons cooperate?" IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1164-1175, Sep. 2004.
13. K. Boahen, "A retinomorphic chip with parallel pathways: Encoding ON, OFF, INCREASING, and DECREASING visual signals," Analog Integr. Circuits Signal Process., vol. 30, no. 2, pp. 121-135, 2002.
14. K. A. Zaghloul and K. A. Boahen, "Optic nerve signals in a neuromorphic chip I: Outer and inner retina models," IEEE Trans. Biomed. Eng., vol. 51, no. 4, pp. 657-666, Apr. 2004.
15. E. Culurciello, R. Etienne-Cummings, and K. Boahen, "A biomorphic digital image sensor," IEEE J. Solid-State Circuits, vol. 38, no. 2, pp. 281-294, Feb. 2003.
16. S. Granados, R. Rodríguez, E. Ros, and J. Díaz, "Visual processing platform based on artificial retinas," in Proc. IWANN, 2007, pp. 506-513.
17. K. A. Zaghloul and K. Boahen, "Optic nerve signals in a neuromorphic chip II: Testing and results," IEEE Trans. Biomed. Eng., vol. 51, no. 4, pp. 667-675, Apr. 2004.
18. Optical Flow Synthetic Sequences With Ground-Truth Information. [Online]. Available: ftp://ftp.vislist.com/SHAREWARE/CODE/OPTICAL-FLOW
19. J.L. Barron, D. J. Fleet, and S. Beauchemin, "Performance of optical flow techniques," Int. J. Comput. Vis., vol. 12, no. 1, pp. 43-77, Feb. 1994.
20. E. Trucco, T. Tommasim, and V. Roberto, "Near-recursive optical flow from weighted image differences," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 35, no. 1, pp. 124-129, Feb. 2005.
21. H. Nagel, Institut für Algorithmen und Kognitive Systeme: Ettlinger-Tor. [Online]. Available: ftp://ftp.ira.uka.de/pub/vid-text/image_sequences/dt/sequence.mpg
22. L. Snidaro, R. Niu, G. L. Foresti, and P. K. Varshney, "Quality-based fusion of multiple video sensors for video surveillance," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 37, no. 4, pp. 1044-1051, Aug. 2007.