A pipelined real-time optical flow algorithm

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

Volumn 3212, Issue , 2004, Pages 372-380

  Correia, Miguel V ^a   Campilho, Aurélio ^b  

^a Instituto de Engenharia Biomédica   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Motion analysis; Optical flow; Pipeline hardware; Real time

Indexed keywords

HARDWARE; MEAN SQUARE ERROR; MOTION ANALYSIS; OPTICAL FLOWS; PIPELINES; REAL TIME CONTROL;

COMPUTATIONAL POWER; OPTICAL FLOW ALGORITHM; OPTICAL FLOW COMPUTATION; PARALLEL HARDWARE; REAL IMAGE SEQUENCES; REAL TIME; REAL-TIME IMPLEMENTATIONS; ROOT MEAN SQUARE ERRORS;

ALGORITHMS;

EID: 35048898359     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30126-4_46     Document Type: Article

References (15)

1. A. T. Smith, R. J. Snowden, Visual Detection of Motion, New York Academic Press, 1994.
2. R. Cummings, Biologically inspired visual motion detection in VLSI, International Journal of Computer Vision 44 (2001) 175-198.
3. Z. Duric, A. Rosenfeld, J. Duncan, The applicability of Green's theorem to computation of rate of approach, International Journal of Computer Vision 31 (1) (1999) 83-98.
4. N. Stofler, T. Burkert, G. Farber, Real-time obstacle avoidance using MPEG-processor-based optic flow sensor, in: Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Spain, 2000, pp. 161-166.
5. H. Liu, T.-H. Hong, M. Herman, T. Camus, Accuracy vs efficiency trade-offs in optical flow algorithms, Computer Vision and Image Understanding 72 (3) (1998) 271-286.
6. G. Farnebäck, Fast and accurate motion estimation using orientation tensors and parametric motion models, in: Proceedings 15th Int. Conf. on Pattern Recognition, Barcelona, Spain, 2000, pp. 135-139.
7. M. Fleury, A. F. Clark, A. C. Downton, Evaluating optical-flow algorithms on a parallel machine, Image and Vision Computing 19 (2001) 131-143.
8. M. V. Correia, A. C. Campilho, J. A. Santos, L. B. Nunes, Optical flow techniques applied to the calibration of visual perception experiments, in: Proceedings 13th Int. Conf. on Pattern Recognition, ICPR'96, Vienna, Austria, 1996, pp. 498-502.
9. M. V. Correia, A. C. Campilho, Real-time implementation of an optical flow algorithm, in: Proceedings 16th Int. Conf. on Pattern Recognition, Québec City, Canada, 2002, pp. 247-250.
10. J. L. Barron, D. J. Fleet, S. S. Beauchemin, Performance of optical flow techniques, International Journal of Computer Vision 12 (1) (1994) 43-77.
11. E. P. Simoncelli, Distributed representation and analysis of visual motion, Ph.D. thesis, Massachusetts Institute of Technology (January 1993).
12. B. D. Lucas, T. Kanade, An iterative image registration technique with an application to stereo vision, in: Proceedings of the 7th International Joint Conference on Artificial Intelligence, Vancouver, Canada, 1981, pp. 674-679.
13. D. J. Fleet, K. Langley, Recursive filters for optical flow, IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (1) (1995) 61-67.
14. T. J. Olson, J. R. Taylor, R. J. Lockwood, Programming a pipelined image processor, Computer Vision and Image Understanding 64 (3) (1996) 351-367.
15. T. Lin, J. L. Barron, Image reconstruction error for optical flow, in: Proceedings of Vision Interface'94, Banff National Park, Canada, 1994, pp. 73-80.