Based on the continuous development of motion capture technology for ordinary video images, unmarked optical motion capture has become the fastest human posture recognition technology. Compared with other technical pr...Based on the continuous development of motion capture technology for ordinary video images, unmarked optical motion capture has become the fastest human posture recognition technology. Compared with other technical products, Google’s 3D human body recognition framework—Mediapipe is the most mature representative in this field. However, Mediapipe also has many defects in the detection of 3D human posture. In this paper, firstly, to solve the problem of inaccurate detection of human posture by Mediapipe, the accuracy of 2D human posture detection is improved through the speed threshold correction method for each joint;According to the problem that the monocular camera can not detect the depth Z value in the human posture data accurately, the Z value of the joint point is corrected for the human tilt angle through statistics;Then, according to the inaccurate recognition of Z value caused by large body posture, the accurate correction of Z value of human posture under different body posture is realized by normalizing the simulation proportion of each body limb;Finally, in order to solve the problem of jitter, lag problem and periodic noise in multiple frames caused by the speed change of human joints, one euro filtering and mean filtering of joint data are carried out. This paper verifies that the accuracy of 3D human posture detection based on the improved Mediapipe is more than 90% through the multi-pose recognition test for people of different heights, weights, ages and gender.展开更多
在已有的极值模型的基础上,利用超阈值(peaks over threshold,POT)提出基于相对值法的POT-CVaR_(Bootstrap)模型,并对中国电网停电损失风险进行评估。结合电网装机容量的发展趋势,对比利用绝对值法与相对值法统计的停电损失负荷数据,表...在已有的极值模型的基础上,利用超阈值(peaks over threshold,POT)提出基于相对值法的POT-CVaR_(Bootstrap)模型,并对中国电网停电损失风险进行评估。结合电网装机容量的发展趋势,对比利用绝对值法与相对值法统计的停电损失负荷数据,表明相对值预测更符合未来电网损失;基于相对值数据建立POT模型,提出W^(2)&A^(2)-Hill图的阈值选取方法。为了解决电网停电损失负荷样本数量稀少的问题,结合对有限样本重复抽样的Bootstrap法,建立CVaR_(Bootstrap)停电损失风险评估模型,利用中国电网停电损失负荷数据验证了模型的有效性,得出CVaR_(Bootstrap)模型的评估结果更优,在此基础上给出我国未来10 a的停电事故风险评估,未来很长一段时间我国的停电损失负荷将仍呈现增长趋势,且华北、华东和南方地区是停电事故发生较严重的地区。展开更多
文摘Based on the continuous development of motion capture technology for ordinary video images, unmarked optical motion capture has become the fastest human posture recognition technology. Compared with other technical products, Google’s 3D human body recognition framework—Mediapipe is the most mature representative in this field. However, Mediapipe also has many defects in the detection of 3D human posture. In this paper, firstly, to solve the problem of inaccurate detection of human posture by Mediapipe, the accuracy of 2D human posture detection is improved through the speed threshold correction method for each joint;According to the problem that the monocular camera can not detect the depth Z value in the human posture data accurately, the Z value of the joint point is corrected for the human tilt angle through statistics;Then, according to the inaccurate recognition of Z value caused by large body posture, the accurate correction of Z value of human posture under different body posture is realized by normalizing the simulation proportion of each body limb;Finally, in order to solve the problem of jitter, lag problem and periodic noise in multiple frames caused by the speed change of human joints, one euro filtering and mean filtering of joint data are carried out. This paper verifies that the accuracy of 3D human posture detection based on the improved Mediapipe is more than 90% through the multi-pose recognition test for people of different heights, weights, ages and gender.
文摘在已有的极值模型的基础上,利用超阈值(peaks over threshold,POT)提出基于相对值法的POT-CVaR_(Bootstrap)模型,并对中国电网停电损失风险进行评估。结合电网装机容量的发展趋势,对比利用绝对值法与相对值法统计的停电损失负荷数据,表明相对值预测更符合未来电网损失;基于相对值数据建立POT模型,提出W^(2)&A^(2)-Hill图的阈值选取方法。为了解决电网停电损失负荷样本数量稀少的问题,结合对有限样本重复抽样的Bootstrap法,建立CVaR_(Bootstrap)停电损失风险评估模型,利用中国电网停电损失负荷数据验证了模型的有效性,得出CVaR_(Bootstrap)模型的评估结果更优,在此基础上给出我国未来10 a的停电事故风险评估,未来很长一段时间我国的停电损失负荷将仍呈现增长趋势,且华北、华东和南方地区是停电事故发生较严重的地区。
