Liu Guoyou, Liu Chenguang, Wang Weijiang, Yang Mengqi, Hang Bingpeng
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引用次数: 0
Abstract
With the development of human-computer interaction, virtual reality, and other related fields, human posture recognition has become a hot research topic. Since the human body belongs to a non-rigid model and has time-varying characteristics, the accuracy and robustness of recognition are not ideal. Based on the KinectV2 so-matosensory camera to collect skeletal information, this paper proposes a one-shot learning model matching method based on human body angle and distance characteristics. First, feature extraction is performed on the collected bone information, and the joint point vector angle and joint point displacement are calculated and a threshold is set. Secondly, the pose to be measured is matched with the template pose, and the recognition is successful if the threshold limit is met. Experimental results show that the method can detect and recognize human poses within the defined threshold in real-time, which improves the accuracy and robustness of recognition.
光电工程Engineering-Electrical and Electronic Engineering
CiteScore
2.00
自引率
0.00%
发文量
6622
期刊介绍:
Founded in 1974, Opto-Electronic Engineering is an academic journal under the supervision of the Chinese Academy of Sciences and co-sponsored by the Institute of Optoelectronic Technology of the Chinese Academy of Sciences (IOTC) and the Optical Society of China (OSC). It is a core journal in Chinese and a core journal in Chinese science and technology, and it is included in domestic and international databases, such as Scopus, CA, CSCD, CNKI, and Wanfang.
Opto-Electronic Engineering is a peer-reviewed journal with subject areas including not only the basic disciplines of optics and electricity, but also engineering research and engineering applications. Optoelectronic Engineering mainly publishes scientific research progress, original results and reviews in the field of optoelectronics, and publishes related topics for hot issues and frontier subjects.
The main directions of the journal include:
- Optical design and optical engineering
- Photovoltaic technology and applications
- Lasers, optical fibres and communications
- Optical materials and photonic devices
- Optical Signal Processing