In recent years, the development of computer vision technology has led to its implementation for structural identification. This thesis investigates the performance offered by the Phase Based Motion Magnification (PBMM), an algorithm developed by researchers at the MIT in Boston, that uses video acquisitions to estimate the displacements of target pixels within frames and to amplify the vibrations occurring within a desired frequency band. Thus, by means of a simple experimental set-up, it is potentially able to replace the pointwise measurements provided by sensors directly attached to structures, achieving high efficiency. In the current document, the results of this approach, applied to videos recorded with commercial-grade cameras, were compared with those obtained from an array of physically-attached accelerometers for the dynamic characterization of a three-storey, square-based aluminium frame.