Abstract
Gait recognition and analysis are very crucial research areas in the field of computer vision for various applications. This paper presents a simple approach for gait analysis. It is based on the four-directional motion energy image calculated from gradient-based optical flow computation. The binarized energy images for horizontal directions are considered and the first order geometric moments are computed to have the concept of speed for walking or running motion. To show the robustness of this approach, we employed three standard datasets for our experiment. The experimental results both in indoor and outdoor datasets show satisfactory performance of the proposed method.
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