Open AccessImage Tracking and Detection of Standing Posture of Moving Human Body Based on The Recognition Algorithm of Human Body Structure
Author(s) -
Zhiliang Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022151
Subject(s) - computer vision , artificial intelligence , tracking (education) , computer science , position (finance) , human body , image (mathematics) , human motion , body posture , motion (physics) , tracking system , kalman filter , psychology , pedagogy , finance , economics , medicine , physical therapy
Aiming at the problem of human motion posture and recognition in low-quality deep images, the three-step search algorithm can be adopted by using the human body structure posture recognition algorithm. This paper firstly explains the significance of human standing posture image tracking detection, and at the same time carries out depth image acquisition and tracking calculation in combination with the experiment of moving human posture image. In the aspect of the tracking algorithm based on the depth image, the complex estimation problem is transformed into a simple classification problem by predicting the position of human bone points based on the image, which has made a breakthrough in the research on the tracking algorithm of human motion and posture.