Traffic police gesture recognition and judgment based on Openpose

With the development of computer neural network and machine vision, human posture detection has become an important research field in machine vision. In this paper, the Openpose human posture recognition algorithm is used to extract the posture characteristic information of traffic police, and the gesture posture of traffic police in traffic command is calculated by the key point information of the human body, so as to judge the gesture instructions of traffic police. Openpose pose recognition algorithm can deal with human body pose recognition in different scenes well.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1117/12.3032502
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
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article

Traffic police gesture recognition and judgment based on Openpose

qingxiang zhu, xueming dang
Hand Gesture Recognition Systems
article

Traffic police gesture recognition and judgment based on Openpose

qingxiang zhu, xueming dang
article en

Abstract

With the development of computer neural network and machine vision, human posture detection has become an important research field in machine vision. In this paper, the Openpose human posture recognition algorithm is used to extract the posture characteristic information of traffic police, and the gesture posture of traffic police in traffic command is calculated by the key point information of the human body, so as to judge the gesture instructions of traffic police. Openpose pose recognition algorithm can deal with human body pose recognition in different scenes well.

Hefei University of Technology (CN)
Openalex Percentile: Top 85%
Hand Gesture Recognition Systems
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Traffic police gesture recognition and judgment based on Openpose — qingxiang zhu, xueming dang · (2024) | TGRS Research Map | TGRS