2D amplitude-modulation frequency-modulation - based method for motion estimation

Murray, Victor; Rodriguez, Paul; Noriega, Maria

dc.contributor.author	Murray, Victor
dc.contributor.author	Rodriguez, Paul
dc.contributor.author	Noriega, Maria
dc.date.accessioned	2017-11-07T04:35:39Z
dc.date.available	2017-11-07T04:35:39Z
dc.date.issued	2015-02
dc.identifier.uri	https://hdl.handle.net/20.500.12815/34
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.	es_PE
dc.format	application/pdf	es_PE
dc.language.iso	eng	es_PE
dc.publisher	Institute of Electrical and Electronics Engineers	es_PE
dc.rights	info:eu-repo/semantics/openAccess	es_PE
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.source	Repositorio Institucional UTEC	es_PE
dc.source	Universidad de Ingeniería y Tecnología - UTEC	es_PE
dc.subject	Motion estimation	es_PE
dc.subject	Videos	es_PE
dc.subject	Optical imaging	es_PE
dc.subject	Biomedical optical imaging	es_PE
dc.subject	Mathematical model	es_PE
dc.subject	Adaptive optics	es_PE
dc.subject	Estimation	es_PE
dc.title	2D amplitude-modulation frequency-modulation - based method for motion estimation	es_PE
dc.type	info:eu-repo/semantics/article	es_PE
dc.identifier.doi	https://doi.org/10.1109/LASCAS.2015.7250484	es_PE
dc.identifier.journal	2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS)	es_PE