近年來以影像為基礎分析步伐姿態成為一新的研究方向，步伐姿態被認為可以作為一生物特徵來辨識人，或是反映個人身體狀況，然而，大部分有關步態的研究都以辨識人的身份為主，並且未包含異常的步伐情形。另一方面，在居家看護及監控系統上，我們需要行為分析來偵測異常的動作以期系統能做出適宜的反應。
本論文提出一套以視訊影像分析人類步伐的方法，藉由此方法可有效抓出步態的幾種特性，並依此特性分辨出幾種異常的步伐，並且針對拍攝角度不同的情況下提出了矯正的方式以及當角度太大時的誤差提出了改良的方法。

Gait, or the style of walking, has recently been a popular topic in vision-based analysis. It is believed that gait is unique to every individual and reflects body conditions. However, current vision-based works about gait are mostly devoted to the application of human recognition, and abnormal walking styles are not included for discussion. On the other hand, behavior analysis in home care system or other surveillance application is needed for detecting unusual events so as to making proper response.
In this thesis, a vision-based method is proposed to analyze abnormal types of walking. With this analysis, a few abnormal types of walking can be distinguished. And consider the angle of the camera, we find the rectification function and we also improve the problem while the angle is too bigger.

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