機械知覚&ロボティクスグループ
中部大学

People Image Analysis 学術論文(E)

Real-Time Human Motion Analysis by Image Skeletonization

Author
Hironobu Fujiyoshi, Lipton Alan J, Takeo Kanade
Publication
IEICE TRANSACTIONS on Information and Systems, vol. E87-D pp. 113–120, 2004

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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 an 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.

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