Please use this identifier to cite or link to this item: http://repositorio.utec.edu.pe/handle/UTEC/94
Title: 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
Authors: Murray, Herrera, Víctor Manuel
Keywords: Ingeniería Electrónica
Issue Date: 5-Dec-2014
Publisher: 2014 Institute of Electrical and Electronics Engineers (IEEE) Global Conference on Signal and Information Processing
Abstract: "We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using 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 such as a phase-based, Horn-Schunck and the Lucas-Kanade methods. The results are promising producing a full density estimation with more accurate results than the other methods."
Description: Publicado en 2014 Institute of Electrical and Electronics Engineers (IEEE) Global Conference on Signal and Information Processing el 05/12/2014
URI: http://repositorio.utec.edu.pe/handle/UTEC/94
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