Gait Recognition Algorithm Based on the Trajectory of Tiptoe
Most researchers focus on the gait characteristics of hip and changed angle of knee joints, gait characteristics of foot is still less attention, also apply wavelet packet to analysis more detailed information of characteristics’ data, and use the support vector machine algorithm to reduce the randomness, it has their unique advantages in the small sample. Summarized the above three points of the paper, the paper proposes a new gait recognition method to extract trajectory of tiptoe, uses wavelet packet to analyze it, then applies SVM for classification and recognition. Tested at the NLPR database of Chinese Academy of Sciences of 45 camera angle, we observed that the recognition rate has significantly increased, we observed that the algorithm is an effective identification method.
Y. B. Li and Q. Yang, "Gait Recognition Algorithm Based on the Trajectory of Tiptoe", Advanced Materials Research, Vols. 255-260, pp. 1984-1988, 2011