Intelligent wristband human abnormal behaviour recognition method based on machine vision

被引:0
|
作者
Liu C.-L. [1 ]
Huo C.-B. [1 ]
机构
[1] College of Electrical Engineering, Liaoning University of Technology, Liaoning, Jinzhou
关键词
abnormal behaviour; machine vision; smartband; softmax classifier; weighted processing method;
D O I
10.1504/IJPD.2022.125377
中图分类号
学科分类号
摘要
In order to overcome the problems of low recognition accuracy and high-recall rate of traditional methods, an intelligent wristband human abnormal behaviour recognition method based on machine vision is proposed. Firstly, the human behaviour video in the smart wristband is obtained through intensive sampling, and the image feature descriptor is obtained according to regularisation processing; the human abnormal behaviour features are extracted by DT algorithm; secondly, softmax classifier is introduced to classify the extracted human abnormal line features of intelligent wristband; the dense trajectory algorithm is used to extract the abnormal behaviour characteristics of intelligent wristband human body, and the machine vision is introduced to recognise the abnormal behaviour of intelligent wristband human body. The experimental results show that the recognition accuracy of this method is as high as 98.2%, and the recognition recall rate is only 4%, which shows that this method can effectively improve the recognition effect. © 2022 Inderscience Enterprises Ltd.
引用
收藏
页码:254 / 267
页数:13
相关论文
共 50 条
  • [41] Vision-Based Intelligent Vehicle Road Recognition and Obstacle Detection Method
    Yang, Fan
    Rao, Yutai
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 34 (07)
  • [42] Smoke Recognition Based on Machine Vision
    Wang Yuanbin
    2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C), 2016, : 668 - 671
  • [43] Motion Capture and Intelligent Correction Method of Badminton Movement Based on Machine Vision
    Zhang, Yibo
    Tang, Jianjun
    Huang, Hui
    MOBILE INFORMATION SYSTEMS, 2021, 2021
  • [44] An Intelligent Vehicle Robust Lane Line Identification Method Based on Machine Vision
    Li M.
    Lyu H.
    Wang F.
    Jia D.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 32 (02): : 242 - 251
  • [45] A new machine vision–based intelligent detection method for gear grinding burn
    Lei Dong
    Weifang Chen
    Shuying Yang
    Houyun Yu
    The International Journal of Advanced Manufacturing Technology, 2023, 125 : 4663 - 4677
  • [46] Research on Intelligent Speech Guide Robot Control Method Based on Machine Vision
    Wang, Zhengbo
    Ma, Xing
    Mu, Chunyang
    2019 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND TECHNOLOGIES (AIAAT 2019), 2019, 646
  • [47] Machine vision based localization of intelligent vehicle
    Wang, Fei
    Duan, Jian-Min
    Zheng, Bang-Gui
    Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 2012, : 4638 - 4643
  • [48] Camera Calibration Method on Machine Vision for Recognition
    Zhang, Zhijia
    Li, Yahong
    Lu, Hongliang
    Li, Xin
    2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015), 2015, : 77 - 82
  • [49] Machine Vision Based Localization of Intelligent Vehicle
    Wang Fei
    Duan Jian-min
    Zheng Bang-gui
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 4644 - 4649
  • [50] AN APPROACH FOR INTELLIGENT MACHINE WITH HUMAN FACE COMPUTER VISION
    Rohith, R. Krishna
    Yeswanth, Y.
    Nandakishore, B.
    ADVANCES AND APPLICATIONS IN MATHEMATICAL SCIENCES, 2021, 20 (11): : 2707 - 2714