Real-time human motion analysis by image skeletonization

In this paper a process is described for analysing the motion of a human target in a video stream. Moving targets are detected and their boundaries extracted. From these, a "star" skeleton is produced. Two motion cues are determined from this skeletonization, body posture, and cyclic motion of skeleton segments. These cues are used to determine human activities such as walking or running, and even potentially, the target's gait. Unlike other methods, this does not require ai? a priori human model, or a large number of "pixels on target". Furthermore, it is computationally, inexpensive, and thus ideal for real-world video applications such as outdoor video surveillance.