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  • 學位論文

具有追蹤能力的視覺化步態分析系統

A Vision-Based Gait Analysis System With Tracking Capability

指導教授 : 繆紹綱

摘要


隨著生活水準的提高,人類身體的健康越來越受重視,而照護性人力成本也跟著上升,因此如何透過更簡單方便的方式或儀器得知身體的健康狀況,以減少醫療資源的花費,是值得探討的議題。本論文提出一個具有追蹤能力的視覺化步態分析系統,來記錄走路姿勢並透過步態分析來了解身體健康狀況,達到有效照護且降低照護成本的目的。本論文使用人類側面的剪影影像,分析人類走路的姿勢。所提出的系統藉由估算人類移動的速率,決定何時轉動攝影機,讓系統可以擷取到更多的走路特徵,包括軀幹線、頸幹線、身體重心與步伐寬度變化。所提系統可追隨人的移動,水平轉動攝影機,增加觀測範圍並成功的重新訓練背景,透過輪廓影像擷取出所需的特徵。此外,也和不轉動之攝影機的系統去比較,結果兩個系統所得到的波形近乎相同。因此這證明了以本論文的方式,可以增加利用視覺方式擷取走路姿勢特徵的便利性與實用性。

並列摘要


With the improving of living standard, the human health problem receives more and more attention, and the cost of health care grows accordingly as well. So how to use simple methods or instruments to realize health condition and reduce the cost of medical resource is an important issue. This study proposes a vision-based gait analysis system with tracking capability. It can be used to record gait posture and understand health conditions, achieving the objective of effective health care and lower health care cost. This study uses s PTZ camera to analyze human walking posture based on the side view of silhouette images. The proposed system can track the walking object by estimating the walking speed of human object and determine when to rotate the camera in order to capture more posture features, including body line, neck line, center of gravity (COG) and gait width. Following the walking of human, the proposed system rotates the camera horizontally to expand the surveillance scope and conducts background re-training successfully for extracting the gait features from silhouette images. Furthermore, the proposed system is compared to the system without camera rotation and the feature waveforms obtained by these two systems are almost the same. This shows that the proposed system can increase the convenience and practicability for the system capturing the characteristics of walking postures visually.

參考文獻


[28] 李育仁,使用兩台方向上垂直的攝影機進行步態分析的系統,中原大學電子工程研究所碩士論文,民國99年。
[1] J. Perry, Gait Analysis: Normal and Pathological Function, SLACK Incorporate, 1992.
[3] J. Rose and J. G. Gamble, Human Walking, Lippincott Williams & Wilkins, 2006.
[4] C. Kirtley, Clinical Gait Analysis: Theory and Practice, Elsevier Limited, 2006.
[5] 林國維,以視覺為基礎之步態分析,國立成功大學電腦與通信工程研究所碩士論文,民國94年。

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