Parsing the Hand Gesture of Traffic Police Officers by Using OpenPose
- https://doi.org/10.2991/aebmr.k.220502.009How to use a DOI?
- Hand gesture parsing; traffic hand gesture; 3-D movement Tracker; OpenPose
Nowadays, as self-driving cars become more and more popular, more features should be added to the whole function of self-driving cars. One of them should be the ability to parse the hand gestures of traffic police officers. To fully bring self-driving cars to reality, such a feature should be discussed and considered in their functionality. In recent decades, real-time 3D hand pose estimation combined with depth cameras has contributed to the successful launch of virtual reality and augmented reality applications. This essay focuses on using OpenPose to parse the hand gestures of traffic police officers based on the expected functionality of self-driving cars. Based on the given background, this article will use comparison to separate the traditional methods and the new method. The result generated by OpenPose is faster and more accurate (99% accuracy), so that it can be a choice for the future algorithm of recognition of hand gesture recognition of traffic officers in self-driving cars.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Maogen Fu PY - 2022 DA - 2022/05/16 TI - Parsing the Hand Gesture of Traffic Police Officers by Using OpenPose BT - Proceedings of the 2022 International Conference on Urban Planning and Regional Economy（UPRE 2022） PB - Atlantis Press SP - 38 EP - 42 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220502.009 DO - https://doi.org/10.2991/aebmr.k.220502.009 ID - Fu2022 ER -