Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12815/36
Título : 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
Autor: Murray, Victor
Rodriguez, Paul
Pattichis, Marios
Fecha de publicación : dic-2014
Resumen : 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.
Palabras clave : Videos,
Motion estimation
Optical imaging
Optical signal processing
Biomedical optical imaging
Adaptive optics
Estimation
Editorial : Institute of Electrical and Electronics Engineers
URI: https://hdl.handle.net/20.500.12815/36
DOI : https://doi.org/10.1109/GlobalSIP.2014.7032273
Aparece en las colecciones: Ingeniería Electrónica

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