2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation

• Autores: Murray, Victor, Rodriguez, Paul, Pattichis, Marios
• Formato: artículo
• Fecha de Publicación: 2014
• Institución: Universidad de Ingeniería y tecnología
• Repositorio: UTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.utec.edu.pe:20.500.12815/36
• Enlace del recurso: https://hdl.handle.net/20.500.12815/36; https://doi.org/10.1109/GlobalSIP.2014.7032273
• Nivel de acceso: acceso abierto
• Materia: Videos,; Motion estimation; Optical imaging; Optical signal processing; Biomedical optical imaging; Adaptive optics; Estimation

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.