Motion capture data that describe human movements are gaining popularity in a number of application domains, e.g., sports, medicine, or security. Consequently, a lot of current research efforts is dedicated to efficient and effective processing of the motion capture data. One of interesting open challenges is the presentation of motion sequences to human users. To allow users quickly grasp what is happening in a given motion sequence, the high-dimensional spatio-temporal motion data need to be transformed into some compact and understandable representation.

The objective of this thesis is to propose and implement a software tool that will create static visual representations (images) of short motion sequences. The tool will be implemented in JavaScript to be applicable in web interfaces of motion search systems. The student will mainly focus on selecting relevant keyposes and drawing these within one image so that the motion semantics is captured. The applicability of the created tool will be evaluated in a user-satisfaction experiment.