Pedestrian motion centroid model based on robot dynamics Article Swipe
Rongyong Zhao
,
Yan Wang
,
Chuanfeng Han
,
Ping Jia
,
Cuiling Li
,
Wenjie Zhu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1051/matecconf/202235503016
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1051/matecconf/202235503016
In recent years, with the rapid development of computer vision technology, image-based human body research has become an important task, such as pedestrian target detection, trajectory tracking, posture estimation and behaviour recognition. The centre of mass is one of the important characteristics that can reflect the phenomenon of pedestrian movement. This paper first introduces the biped robot model in robotics, starting from forward and inverse kinematics, to find the mapping relationship between the position of each joint and the pose of the end effector. Then, corresponding to the skeleton model of the human joint points, the characteristics of the bone posture and joint angle are determined. The moment of inertia factor is introduced, and the motion superposition of different joint points is considered to establish a pedestrian motion centroid model. By calculating the equivalent dynamic centroid, the pedestrian kinematics law can be explored and the pedestrian movement mechanism can be more deeply recognized.
Related Topics
Concepts
Centroid
Artificial intelligence
Computer vision
Kinematics
Computer science
Pedestrian
Trajectory
Inverse kinematics
Motion (physics)
Position (finance)
Inverse dynamics
Robotics
Joint (building)
Robot
Engineering
Physics
Transport engineering
Architectural engineering
Economics
Finance
Classical mechanics
Astronomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/matecconf/202235503016
- https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03016.pdf
- OA Status
- diamond
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206218373
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4206218373Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1051/matecconf/202235503016Digital Object Identifier
- Title
-
Pedestrian motion centroid model based on robot dynamicsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Rongyong Zhao, Yan Wang, Chuanfeng Han, Ping Jia, Cuiling Li, Wenjie ZhuList of authors in order
- Landing page
-
https://doi.org/10.1051/matecconf/202235503016Publisher landing page
- PDF URL
-
https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03016.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.matec-conferences.org/articles/matecconf/pdf/2022/02/matecconf_icpcm2022_03016.pdfDirect OA link when available
- Concepts
-
Centroid, Artificial intelligence, Computer vision, Kinematics, Computer science, Pedestrian, Trajectory, Inverse kinematics, Motion (physics), Position (finance), Inverse dynamics, Robotics, Joint (building), Robot, Engineering, Physics, Transport engineering, Architectural engineering, Economics, Finance, Classical mechanics, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
6Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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