Motion analysis on the micro grained array processor

Real-Time Imaging

Volumn 3, Issue 2, 1997, Pages 101-110

  Kim, Heung Nam ^a   Irwin, Mary Jane ^a   Owens, Robert Michael ^a  

^a The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALCULATIONS; COMPUTATIONAL METHODS; COMPUTER VISION; ESTIMATION; IMAGE CODING; IMAGE SEGMENTATION; MOTION PICTURES; OPTICAL FLOWS; PARALLEL PROCESSING SYSTEMS; REAL TIME SYSTEMS; STORAGE ALLOCATION (COMPUTER);

BLOCK MATCHING ALGORITHM; DATA MEMORY ACCESS; MICRO GRAINED ARRAY PROCESSOR; MOTION ANALYSIS; MOTION ESTIMATION; PROGRAMMABLE ARRAY PROCESSORS; REAL TIME MAPPING; REGION MATCHING;

IMAGE ANALYSIS;

EID: 0031122135     PISSN: 10072014     EISSN: None     Source Type: Journal    
DOI: 10.1006/rtim.1996.0050     Document Type: Article

References (26)

1. Aggarwal, J. & Wang, Y. (1987) Analysis of a sequence of images using point and line correspondences. In Proc. IEEE Intl. Conf. on Robotics and Automation, Raleigh, NC, pp. 1275-1280.
2. Artieri, A. & Jutand, F. (1989) A versatile and powerful chip for real time motion estimation. In Proc. ICASSP '89, Glasgow, Scotland, pp. 2453-2456.
3. Bajwa, R., Owens, R. M. & Irwin, M. J. (1994) Area time Irade-offs in micro-grained VLSI array architectures, IEEE Trans. Computers, 43: 1121-1128.
4. Bajwa, R., Owens, R. M. & Irwin, M. J. (1995) The MGAP's programming environment and the *C++ language, In Proc. Intl. Conf. on Application-Specific Array Processors, Strasbourg, France, pp. 121-124.
5. Barron, J., Fleet, D. & Beauchemin, S. (1994) Performance of optical flow techniques, Int. J. Computer Vision, 12: 43-77.
6. Batcher, K. E. (1980) Design of a massively parallel processor, IEEE Trans. Computers, 29: 836-840.
7. De Vos, L. (1990) VLSI-Architectures for the hierarchical block-matching algorithm for HDTV applications, SPIE Vol. 1360 Visual Communication and Image Processing, pp. 398-409.
8. De Vos, L. & Schöbinger, M. (1993) Efficient architecture of a programmable block matching processor, In Proc. Intl. Conf. on Application-Specific Array Processors, Venice, Italy, pp. 560-571.
9. Duff, M. J. B. & Fountain, T. J. (1983) Computing structures for image processing, New York: Academic Press.
10. Fleet, D. & Jepson, A. (1990) Computation of component image velocity from local phase information, Int. J Computer Vision, 5: 77-104.
11. Gibson, J. (1950) The perception of the visual world, Boston, MA, Houghton and Mifflin.
12. Heeger, D. (1988) Optical flow using spatiotemporal filters, Int. J. Computer Vision, 1: 279-302.
13. Hillis, W. D. (1986) The Connection Machine, Cambridge, MA, MIT Press.
14. Horn, B. & Schunck, B. (1981) Determining optical flow, Artificial Intelligence, 17: 185-203.
15. Irwin, M. J. & Owens, R. M. (1992) A micro-grained VLSI signal processor, In Proc. ICASSP '92, San Francisco, pp. V.641-V.644.
16. Kim, H. N., Owens, R. M. & Irwin, M. J. (1994) 2-D Discrete cosine transforms on fine-grain array processors. In Proc. VLSI Signal Processing VII, La Jolla, CA, pp. 356-367.
17. Kim, H. N., Irwin, M. J. & Owens, R. M. (1995) Motion estimation algorithms on fine-grain array processors. In Proc. Application Specific Array Processors, Strasbourg, France, pp. 204-213.
18. Kim, H. N., Irwin, M. J. & Owens, R. M. (1995) MGAP applications in machine perception. In Proc. Computer Architectures for Machine Perception, Como, Italy, pp. 67-73.
19. Komarek, T. & Pirsch, P. (1989) Array architectures for block matching algorithms, IEEE Trans. Circuits and Systems, 36: 1301-1308.
20. Le Gall, D. (1991) The MPEG: a video compression standard for multimedia applications, Comm. of the ACM, 34: 46-58.
21. Lim, J. (1990) Two-dimensional signal and image processing, Englewood Cliffs, NJ: Prentice Hall.
22. Little, J. & Verri, A. (1989) Analysis of differential and matching methods for optical flow. In Proc. IEEE Workshop on Visual Motion, Irvine, CA, pp. 173-180.
23. Nagel, H. (1989) On a constraint equation for the estimation of displacement rates in image sequences, IEEE Trans. Pattern Analysis and Machine Intelligence, 11(1): 13-30.
24. Nagendra, C., Owens, R. M. & Irwin, M. J. (1993) Digit systolic algorithms for fine-grain architectures. In Proc. Application Specific Array Processors, Venice, Italy, pp. 466-477.
25. Pitas, I. (1993) Parallel algorithms for digital image processing, computer vision and neural networks, New York, NY: John Wiley & Sons.
26. Schunck, B. (1984) The motion constraint equation for optical flow. In Proc. International Joint Conference on Pattern Recognition, Montreal, Canada, pp. 20-22.