Motion capture is the process of recording people or object movements. Generally, marker based systems are used for this process. In these systems, motion data is acquired by placing markers on certain points on the object whose motion is going to be captured. However preserving markers' positions on the object, dependency on the object, high cost and requirement of specially designed workspace causes difficulties in usage. In recent years, development of motion sensing camera systems like Microsoft Kinect became an alternative of marker based systems. In this study, Fréchet distance algorithm is suggested for similarity measurement of movement trajectories that are formed by motion capture data acquired using Microsoft Kinect cameras. Measurement of movement similarity is crucial for certain applications. (activity recognition, object classification, path finding for humanoid robots etc).