Method and system for estimating and tracking human body posture in video

The invention provides a method and a system for estimating and tracking a human body posture in a video. The method comprises the following steps: acquiring video data in a human body posture estimation data set; performing human body posture estimation on each frame of image in the video data thro...

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Bibliographic Details
Main Authors WANG HAIBIN, JI WENFENG
Format Patent
LanguageChinese
English
Published 13.08.2021
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Summary:The invention provides a method and a system for estimating and tracking a human body posture in a video. The method comprises the following steps: acquiring video data in a human body posture estimation data set; performing human body posture estimation on each frame of image in the video data through the human body posture estimation network model to obtain estimation data, and obtaining an optical flow estimation result between adjacent frames through an optical flow estimation algorithm; inputting N + (N-1) parameters into an improved CNN network model to carry out human body posture tracking training, and carrying out overlapped frame correction based on loss function constraint to output accurate human body estimation posture and tracking data; the method can effectively improve image blurring attitude estimation inaccuracy caused by rapid motion of a human body in a video, and improves the human body attitude estimation and tracking accuracy in the video. 本公开提供了一种视频中人体姿态估计与跟踪方法及系统,包括:采集人体姿态估计数据集中的视频数据;
Bibliography:Application Number: CN202110295774