As civil engineering structures age, the need for effective monitoring tools becomes increasingly important. Advances in vision-based measurement techniques, including Motion Capture (MoCap) and Digital Image Correlation (DIC), offer possibilities for non-intrusive and high-resolution monitoring. This study explores the potential of these two techniques for assessing the behavior of masonry structures under loading. Two recent experiments provided an opportunity to evaluate their feasibility and accuracy. The first involved an experimental dry-stone retaining wall in a controlled environment, where the MoCap results were validated against laser tracker measurements. The second focused on a masonry arch stone bridge, providing a unique opportunity to test these methods under real conditions. Results highlight the advantages and limitations of each technique. While MoCap allows for precise 3D tracking of rigid body movements, its effectiveness depends on careful calibration and controlled lighting conditions. DIC, on the other hand, proved robust against environmental variations but requires substantial post-processing and sufficient contrast between stones (or speckles). Overall, this study demonstrates the relevance of vision-based measurement techniques for structural health monitoring. With further refinement, these methods have the potential to become essential tools for the assessment of masonry structures.