.A PANORAMIC SURVEY METHOD BASED ON GESTURE RECOGNITION

被引:0
|
作者
Jiang, Jiyang [1 ]
Li, Yafei [1 ]
Xu, Shuang [1 ]
Zhang, Xin [1 ]
Yan, Chenggang [1 ]
Li, Liang [2 ]
机构
[1] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
来源
2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017) | 2017年
关键词
gesture recognition; control; convenience; image processing; practical; naked eye 3D; PARALLEL FRAMEWORK;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The invention, gesture recognition technology uses cameras to collect images which contains the information of face posture, then identifying then track automatically the posture of face, and control correspondingly the car camera's rotation according to facial gestures, It is convenient and safe. In addition, the invention enhances the practicability of the system itself by adding the image processing technology such as antiglare, defog vision, night vision. Naked eye 3D will also be used in automobiles to observe the surrounding environment.
引用
收藏
页码:677 / 681
页数:5
相关论文
共 50 条
  • [31] A Dynamic Gesture Recognition Control File Method Based on Deep Learning
    Liu, Fumin
    Wu, Yuezhong
    Xiao, Falong
    Liu, Qiang
    CLOUD COMPUTING, CLOUDCOMP 2021, 2022, 430 : 30 - 39
  • [32] A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development
    Niu, Dong
    Li, Dengju
    Yan, Rui
    Tang, Huajin
    NEURAL INFORMATION PROCESSING (ICONIP 2018), PT I, 2018, 11301 : 582 - 593
  • [33] ULTRASOUND BASED GESTURE RECOGNITION
    Das, Amit
    Tashev, Ivan
    Mohammed, Shoaib
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 406 - 410
  • [34] A K-NN and Sparse Representation Based Method for Gesture Recognition
    Zeng, Meifang
    Xiao, Ling
    Li, Renfa
    2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC), 2013, : 2325 - 2329
  • [35] A Novel Method for Data Glove-Based Dynamic Gesture Recognition
    Guo, Xiaopei
    Feng, Zhiquan
    Ai, Changsheng
    Li, Yingjun
    Wei, Jun
    Yang, Xiaohui
    Sun, Kaiyun
    2017 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV 2017), 2017, : 43 - 48
  • [36] Context-Aware Information Based Ultrasonic Gesture Recognition Method
    Zhong X.
    Chen Y.
    Yu H.
    Yang X.
    Hu Z.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2018, 30 (01): : 173 - 179
  • [37] Gesture recognition method for wearable sports devices based on sparse representation
    Gao Y.
    Ma G.
    International Journal of Product Development, 2023, 27 (1-2) : 41 - 53
  • [38] An HMM-based Gesture Recognition Method Trained on Few Samples
    Godoy, Vinicius
    Britto, Alceu S., Jr.
    Koerich, Alessandro
    Facon, Jacques
    Oliveira, Luiz E. S.
    2014 IEEE 26TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2014, : 640 - 646
  • [39] EMG gesture recognition method based on robust feature independent of strength
    Lin H.
    Li Y.
    Shi Z.
    Zhu F.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2022, 43 (05): : 183 - 190
  • [40] Gesture Feature Extraction and Recognition Based on Image Processing
    Wang, Yingnan
    Yang, Yueming
    Zhang, Peiye
    TRAITEMENT DU SIGNAL, 2020, 37 (05) : 873 - 880