Analyzing Human Movements from Silhouettes via Fourier Descriptor
Human movement analysis has recently gained growing interest for computer vision researchers.In this paper,a simple but efficient algorithm using Fourier descriptor to represent spatial-temporal silhouette for human movement analysis is proposed.For each image sequence,motion detection and segmentation methods are used to segment and extract the moving silhouettes of people.Then,Fourier descriptor(FD)is used to describe the moving silhouettes.HMMs and Haudorff distance are applied to the time-varying distance signals described by FD for the activity classification and gait recognition.Experimental results have demonstrated that the proposed algorithm greatly improve the recognition rates .
Fourier descriptor Shape-based analysis HMMs Haudorff distance
Zhigang Ling Chunhui Zhao Quan Pan Yan Wang Yongmei Cheng
Department of Automation Northwestern Polytechnical University Xi an,China,710072
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）