



@conference {2525,
	title = {Real-time implementation of an optical flow algorithm},
	booktitle = {Proceedings - International Conference on Pattern RecognitionProc. Int. Conf. Pattern Recognit.},
	volume = {16},
	year = {2002},
	note = {Cited By (since 1996): 29Export Date: 21 November 2012Source: ScopusCODEN: PICRELanguage of Original Document: EnglishCorrespondence Address: Correia, M.V.; Instituto de Engenharia Biom{\'e}dica, Faculdade de Engenharia, Dept. Eng. Electrot{\'e}cnica e de Computadores, R. Dr. Roberto Frias, 4200-465 Porto, Portugal; email: mcorreia@fe.up.ptReferences: Barron, J.L., Fleet, D.J., Beauchemin, S.S., Performance of optical flow techniques (1994) International Journal of Computer Vision, 12 (1), pp. 43-77;Correia, M.V., Campilho, A.C., Santos, J.A., Nunes, L.B., Optical flow techniques applied to the calibration of visual perception experiments (1996) Proceedings of 13th International Conference on Pattern Recognition, ICPR {\textquoteright}96, pp. 498-502. , Vienna, Austria, August; 
Fleet, D.J., Langley, K., Recursive filters for optical flow (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (1), pp. 61-67. , January; 
Fleury, M., Clark, A.F., Downton, A.C., Evaluating optical-flow algorithms on a parallel machine (2001) Image and Vision Computing, 19, pp. 131-143; 
Lin, T., Barron, J.L., Image reconstruction error for optical flow (1994) Proceedings of Vision Interface{\textquoteright}94, pp. 73-80. , Banff National Park, Canada, May; 
Liu, H., Hong, T.-H., Herman, M., Camus, T., Accuracy vs efficiency trade-offs in optical flow algorithms (1998) Computer Vision and Image Understanding, 72 (3), pp. 271-286. , December; 
Lucas, B.D., (1984) Generalized Image Matching by the Method of Differences, , PhD thesis, Carnegie Mellon University; 
Olson, T.J., Taylor, J.R., Lockwood, R.J., Programming a pipelined image processor (1996) Computer Vision and Image Understanding, 64 (3), pp. 351-367. , November; 
Santos, J., Noriega, P., Correia, M., Campilho, A., Albuquerque, P., (2000) Object Motion Segmentation and Optical Flow Contrast, , Relat{\'o}rios de investiga{\c c}{\~a}o C.E.E.P., Universidade do Minho, Braga; 
Simoncelli, E.P., (1993) Distributed Representation and Analysis of Visual Motion, , PhD thesis, Massachusetts Institute of Technology, January
},
	month = {2002///},
	pages = {247 - 250},
	abstract = {This paper presents the implementation of an optical flow algorithm on a pipeline image processor. The overall optical flow computation method is presented and evaluated on a common set of image sequences. Results are compared to other implementations according to two different error measures. Due to its deterministic architecture, this implementation achieves very low computation delays that allow it to operate at standard video frame-rate and resolutions. It compares favorably to recent implementations in parallel hardware. {\textcopyright} 2002 IEEE.},
	keywords = {Algorithms, Computational methods, Image analysis, Image processors, Image sequences, Optical flow algorithm, Optical flows, Real time systems, Video frame-rate, Video signal processing},
	isbn = {10514651 (ISSN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33645769017\&partnerID=40\&md5=3ee6601ed756c942925be919a4e34178},
	author = {Correia, M.V. and Campilho, A.C.}
}
