Gait Analysis for Walking Paths Determination and Human Identification

步伐姿態分析運用於人物步行路徑與身分識別

何孟芬(Meng-Fen Ho) ； 黃仲陵(Chung-Lin Huang)

《修平學報》 23期 (2011/09) Pp. 1-16

https://doi.org/10.29548/BGYY.201109.0001

摘要

在這篇論文中，我們擷取動態與靜態資訊來進行人物步行路徑和身分的識別。首先利用步伐擺幅距離的週期特性，可以估測每段影像的步伐週期，針對每段步伐週期，分析其運動向量的分布，即可獲得所需的動態資訊，同時利用傅立葉描述取得靜態資訊，接著將這兩種資訊轉換至低維度空間以便進行人物識別。為了解決訓練影片與測試影片中，人物走路速度可能不同的問題，我們提出了一個混合人物識別演算法來選定最有效的特徵。每當測試特徵向量進來時，利用最鄰近分類法則進行路徑確認與人物識別。本系統利用CASIA步伐姿態資料庫進行評估，實驗結果證明的確獲得極高的辨識率，以正常走路的資料組而言，可達到約98%。

關鍵字

步伐姿態分析 ； 人物辨識

並列摘要

In this paper, we propose a gait analysis method to extract the dynamic and static information from the input video for walking path determination and human identification. Based on the periodicity of swing distances, we may estimate the gait period of each walking video sequence. For each gait cycle, we depict the dynamic information by analyzing the distribution of motion vectors, and then describe the static information by using Fourier descriptors. The extracted dynamic and static information is transformed into lower dimensional embedding space for human identity recognition. To solve the difference of walking velocity between the test and training human objects, a hybrid human ID recognition algorithm is developed to choose the effective feature. Given a test feature vector, the nearest neighbor classifier is applied for walking paths determination and human identification. The proposed algorithm is evaluated on the CASIA gait database, and the experimental results demonstrate a highly acceptable recognition rate, for example, 98% for normal walking dataset.

並列關鍵字

Gait analysis ； human identification

參考文獻

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H. Su and F. G. Huang, “Human Gait Recognition Based on Motion Analysis,” in Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, pp. 4464-4468, Aug. 2005.

N. V. Boulgouris and Z. X. Chi, “Gait Recognition Using Random Transform and Linear Discriminant Analysis,” IEEE Transactions on Image Processing, Vol. 16, No. 3, pp. 731-740, Mar. 2007.

N. V. Boulgouris and Z. X. Chi, “Gait Recognition Based on Human Body Components,” in ICIP 2007, pp. I–353–356.

J. Han and B. Bhanu, “Individual Recognition using Gait Energy Image,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 2, pp. 316-322, Feb. 2006.