caa a22 4500 467915024 CHVBK 20180406152859.0 cr unu---uuuuu 170328e20060701xx s 000 0 eng 10.1007/s11263-006-5099-x doi (NATIONALLICENCE)springer-10.1007/s11263-006-5099-x Estimate Large Motions Using the Reliability-Based Motion Estimation Algorithm [Elektronische Daten] [Minglun Gong, Yee-Hong Yang] Detecting and estimating motions of fast moving objects has many important applications. However, most existing motion estimation techniques have difficulties in handling large motions in the scene. In this paper, we extend our recently proposed reliability-based stereo vision technique to solving large motion estimation problem. Compared with our stereo vision approach, the new algorithm removes the constant penalty assumption and explicitly enforces the inter-scanline consistency constraint. The resulting algorithm can handle sequences that contain large motions and can produce optical flows with 100% density over the entire image domain. The experimental results indicate that it can generate more accurate optical flows than existing approaches. Springer Science + Business Media, LLC, 2006 motion estimation nationallicence optical flow nationallicence dynamic programming nationallicence reliability-based dynamic programming nationallicence Gong Minglun Department of Math and Computer Science, Laurentian University, Sudbury, ON, Canada aut Yang Yee-Hong Department of Computing Science, University of Alberta, Edmonton, AB, Canada aut International Journal of Computer Vision Kluwer Academic Publishers 68/3(2006-07-01), 319-330 0920-5691 68:3<319 2006 68 11263 https://doi.org/10.1007/s11263-006-5099-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-5099-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gong Minglun Department of Math and Computer Science, Laurentian University, Sudbury, ON, Canada aut NATIONALLICENCE 700 1- Yang Yee-Hong Department of Computing Science, University of Alberta, Edmonton, AB, Canada aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 68/3(2006-07-01), 319-330 0920-5691 68:3<319 2006 68 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer