Weight measurement using image-based pose analysis
Image-based gait analysis as a means of biometric identification has attracted much research attention.Most of the existing methods focus on human identification,posture analysis and movement tracking.There have been few investigations on measuring the carried load based on the carrier's gait characteristics by automatic image processing.Nevertheless,this measurement is very useful in a number of applications,such as the study of the carried load on the postural development of children and adolescence.In this paper,we inves-tigate how to automatically estimate the carried weight from a sequence of images.We present a method to extract human gait silhouette based on an observation that humans tend to minimize the energy during motion.We compute several angles of body leaning and deter-mine the relationship of the carried weight,the leaning angles and the centroid location according to a human kinetic study.Our weight determination method has been verified successfully by experiments.
作 者： Hong Zhang Kui Zhang Ying Mu Ning Yao Robert J. Sclabassi Mingui Sun 作者单位： Hong Zhang(Image Processing Centre, Beihang University, Beijing 100083, China;Laboratory for Computational Neuroscience, Departments of Neurosurgery, Electrical & Computer Engineering, and Bioengineering,University of Pittsburgh, Pittsburgh 15213, USA)Kui Zhang,Ying Mu(Image Processing Centre, Beihang University, Beijing 100083, China)
Ning Yao,Robert J. Sclabassi,Mingui Sun(Laboratory for Computational Neuroscience, Departments of Neurosurgery, Electrical & Computer Engineering, and Bioengineering,University of Pittsburgh, Pittsburgh 15213, USA)
刊 名： 自然科学进展（英文版） SCI 英文刊名： PROGRESS IN NATURAL SCIENCE 年，卷(期)： 2008 18(12) 分类号： N1 关键词： Image-based pose analysis Energy minimization Pattern recognition Load carrying measurement