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| Human Motion Measurement System Based on Monocular Videos |
| ZHANG Ye1,ZHOU Xiao-jing1,YANG Xiao-tong2 |
1. School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, China
2. Huawei Technologies Co. Ltd, Shenzhen, Guangdong 518129, China |
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Abstract In order to solve the problem of low efficiency caused by camera calibration in video-based human motion measurement process, a design scheme of human motion measurement system is proposed for uncalibrated monocular videos. The vanishing points and the vanishing lines of the scene are computed by Maximum Likelihood Estimation,and real-time stature is measured according to the cross ratio theorem. On the basis of height measurement, a method for extracting the feature points of the left and right feet is proposed to measure the pedestrian′s stride. The trajectory, real-time speed and stride frequency of the pedestrian are estimated by tracking the motion of centroid, and the speed measurements are fitted by sinusoidal function to prove the conformity with the objective law of walking. The experimental results show that the relative errors of height and average velocity measurements are no more than 0.84% and 3.72% respectively, which prove that the system is accurate and robust.
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Received: 24 April 2018
Published: 19 April 2019
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2019, Vol. 40 
