dc.creator | Murray, Victor | |
dc.creator | Rodriguez, Paul | |
dc.creator | Noriega, Maria | |
dc.date.accessioned | 2017-11-07T04:35:39Z | |
dc.date.available | 2017-11-07T04:35:39Z | |
dc.date.created | 2017-11-07T04:35:39Z | |
dc.date.issued | 2015-02 | |
dc.identifier | https://hdl.handle.net/20.500.12815/34 | |
dc.identifier | https://doi.org/10.1109/LASCAS.2015.7250484 | |
dc.identifier | 2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS) | |
dc.description.abstract | We present a new approach to compute the motion estimation in digital videos using 2D amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm for total variation (IRN-TV) algorithm. We compare the proposed method using synthetic videos versus a previous three-dimensional AM-FM based method and available motion estimation methods available in free and commercial software. The proposed approach produces dense estimates that are more accurate than competitive methods. | |
dc.language | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | Repositorio Institucional UTEC | |
dc.source | Universidad de Ingeniería y Tecnología - UTEC | |
dc.subject | Motion estimation | |
dc.subject | Videos | |
dc.subject | Optical imaging | |
dc.subject | Biomedical optical imaging | |
dc.subject | Mathematical model | |
dc.subject | Adaptive optics | |
dc.subject | Estimation | |
dc.title | 2D amplitude-modulation frequency-modulation - based method for motion estimation | |
dc.type | info:eu-repo/semantics/article | |