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Weight measurement using image-based pose analysis
Authors:Hong Zhang  Kui Zhang  Ying Mu  Ning Yao  Robert J Sclabassi  Mingui Sun
Affiliation:1. 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
2. Image Processing Centre, Beihang University, Beijing 100083, China
3. Laboratory for Computational Neuroscience, Departments of Neurosurgery, Electrical & Computer Engineering, and Bioengineering,University of Pittsburgh, Pittsburgh 15213, USA
Abstract: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.
Keywords:Image-based pose analysis  Energy minimization  Pattern recognition  Load carrying measurement
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