Subpixel motion computing architecture

IEE Proceedings: Vision, Image and Signal Processing

Volumn 153, Issue 6, 2006, Pages 869-880

  Diaz J ^a   Ros, E ^a   Mota, S ^b   Pelayo, F ^a   Ortigosa, E M ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTER HARDWARE; FIELD PROGRAMMABLE GATE ARRAYS; IMAGE SENSORS; OPTICAL FLOWS; PARAMETER ESTIMATION;

CONFIGURING PARAMETERS; FRAME GRABBER; OPTICAL FLOW PROCESSING SYSTEM; VIRTUAL MOTION SENSORS;

MOTION ESTIMATION;

EID: 33751501441     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:20050207     Document Type: Article

References (25)

1. Barron, J.L., Fleet, D.J., and Beauchemin, S.: ' Performance of optical-flow techniques ', Int. J. Comput. Vis., 1994, 12, (1), p. 43-77 10.1007/BF01420984 0920-5691
2. Lucas, B.D., and Kanade, T.: ' An iterative image registration technique with an application to stereo vision ', Proc. DARPA Image Understanding Workshop, April, 1984, p. 121-130
3. Liu, H.C., Hong, T.S., Herman, M., Camus, T., and Chellappa, R.: ' Accuracy vs efficiency trade-offs in optical flow algorithms ', Comput. Vis. Image Underst., 1998, 72, (3), p. 271-286 10.1006/cviu.1998.0675 1077-3142
4. McCane, B., Novins, K., Crannitch, D., and Galvin, B.: ' On benchmarking optical flow ', Comput. Vis. Image Underst., 2001, 84, p. 126-143 10.1006/cviu.2001.0930 1077-3142
5. Baker, S., and Matthews, I.: ' Lucas-Kanade 20 Years on: a unifying framework ', Int. J. Comput. Vis., 2004, 56, (3), p. 221-255 10.1023/B:VISI.0000011205.11775.fd 0920-5691
6. Niitsuma, H., and Maruyama, T.: ' Real-time detection of moving objects ', Lect. Notes Comput. Sci., 2004, 3203, p. 1153-1157
7. Cobos, P., and Monasterio, F.: ' FPGA implementation of Camus correlation optical flow algorithm for real time images ', Proc. and 14th Int. Conf. on Vision Interface (VI2001), 2001, p. 32-38
8. Maya-Rueda, S., and Arias-Estrada, M.: ' FPGA processor for real-time optical flow computation ', Lect. Notes Comput. Sci., 2003, 2778, p. 1103-1016
9. Correia, M.V., and Campilho, A.C.: ' Real-time implementation of an optical flow algorithm ', Int. Conf. on Pattern Recognition (ICPR2002), 2002, p. 247-250
10. Martín, J.L., Zuloaga, A., Cuadrado, C., Lázaro, J., and Bidarte, U.: ' Hardware implementation of optical flow constraint equation using FPGAs ', CVIU(98), June, 2005, 3, p. 462-490
11. Celoxica Limited.: 'Handel-C language reference manual' (dk2.0 Edn, 2003), RM-1003-4.0
12. Fleet, D.J., and Langley, K.: ' Recursive filters for optical flow ', IEEE Trans. Pattern Anal. Mach. Intell., 1995, 17, (1), p. 61-67 0162-8828
13. Simoncelli, E.P., Adelson, E.H., and Heeger, D.J.: ' Probability distributions of optical flow ', IEEE Conf. on Computer Vision and Pattern Recognition, Mauii, Hawaii, June, 1991, p. 310-315
14. Yamada, H., Tominaga, T., and Ichikawa, M.: ' An autonomous flying object navigated by real-time optical flow and visual target detection ', Proc. IEEE Int. Conf. on Field-Programmable Technology, 2003, p. 222-227
15. Jebara, T., Azarbayejani, A., and Pentland, A.: ' 3D structure from 2D motion ', IEEE Signal Process. Mag., 1999, 16, (3), p. 66-84 1053-5888
16. Thomas, G.A., and Dancer, S.J.: ' Improved motion estimation for MPEG coding within the RACE 'COUGAR' project ', IEE Int. Broadcasting Convention, IBC 95, September 1995, 413, p. 238-243
17. Tabatabai, A.J., Jasinschi, R.S., and Naveen, T.: ' Motion estimation methods for video compression. A review ', J. Franklin Inst., 1998, 335B, (8), p. 1411-1441 10.1016/S0016-0032(98)00007-6 0016-0032
18. www.celoxica.com
19. Benitez, D.: ' Performance of reconfigurable architectures for image-processing applications ', J. Syst. Archit., Euromicro J., 2003, 49, (4-6), p. 193-210
20. Horn, B.K.P., and Schunck, B.G.: ' Determining optical flow ', Artif. Intell., 1981, 17, p. 185-204 0004-3702
21. Cobos, P., and Monasterio, F.: ' FPGA implementation of the Horn & Shunk optical flow algorithm for motion detection in real time images ', Proc. XIII Design of Circuits and Integrated Systems Conf., Madrid, España, November, 1998, p. 616-621
22. Díaz, J., Ros, E., Mota, S., Carrillo, R., and Agís, R.: ' Real time optical flow processing system ', Lect. Notes Comput. Sci., 2004, 3203, p. 617-626
23. Fleet, D.J., and Jepson, A.D.: ' Computation of component image velocity from local phase information ', Int. J. Comput. Vis., 1990, 5, (1), p. 77-104 10.1007/BF00056772 0920-5691
24. Ortigosa, E.M., Cañas, A., Ros, E., Ortigosa, P.M., Mota, S., and Díaz, J.: ' Hardware description of multi-layer perceptrons with 3 different abstraction levels ', Microprocess. Microsyst., 2006, 30, (7), p. 435-444
25. Todman, T.J., Constantinides, G.A., Wilton, S.J.E., Mencer, O., Luk, W., and Cheung, P.Y.K.: ' Reconfigurable computing: architectures and design methods ', IEE Proc., Comput. Digit. Tech., 2005, 152, (2), p. 193-207 1350-2387