Human Activity Recognition using RGB-D Sensors

被引:0
|
作者
Bagate, Asmita [1 ]
Shah, Medha [1 ]
机构
[1] Walchand Coll Engn, Dept Comp Sci & Engn, Sangli, India
来源
PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS) | 2019年
关键词
Ambient Assisted Living; Human Activity Recognition(HAR); Computer Vision(CV);
D O I
10.1109/iccs45141.2019.9065460
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Computer Vision (CV) is a very alive area of research. The CV has all around multiple applications. One application of CV Ambient Assisted Living (AAL). AAL is getting very much importance day by day because of its extraordinary social values. In this paper we were considering AAL we focused on human activity recognition for that we are using knight depth camera for capturing 3-D skeleton data. This paper is about human activity recognition by using knight depth camera. This camera will capture 3-dimensional skeleton data.[1] Human Activity Recognition deals with a bag of multiple frame sequences with the image caption. Many methodologies have been proposed previously. In this paper, Convolutional Neural Network is used which gives the accuracy 0.85 on SBU Kinect Interaction Dataset.
引用
收藏
页码:902 / 905
页数:4
相关论文
共 50 条
  • [1] Machine Perception In Gender Recognition Using RGB-D Sensors
    Azzakhnini, Safaa
    Ballihi, Lahoucine
    Aboutajdine, Driss
    2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2016,
  • [2] Human activity recognition in RGB-D videos by dynamic images
    Mukherjee, Snehasis
    Anvitha, Leburu
    Lahari, T. Mohana
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (27-28) : 19787 - 19801
  • [3] Recognition and Classification of Human Activity from RGB-D Videos
    Gurkaynak, Deniz
    Yalcin, Hulya
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 1745 - 1748
  • [4] Human activity recognition in RGB-D videos by dynamic images
    Snehasis Mukherjee
    Leburu Anvitha
    T. Mohana Lahari
    Multimedia Tools and Applications, 2020, 79 : 19787 - 19801
  • [5] A Recognition Method for Overlapped Objects using Multiple RGB-D Sensors
    Morimoto, Masakazu
    Yukitou, Mitsuhiro
    2018 WORLD AUTOMATION CONGRESS (WAC), 2018, : 18 - 21
  • [6] HUMAN POSE ESTIMATION USING TWO RGB-D SENSORS
    Xu, Wanxin
    Su, Po-chang
    Cheung, Sen-ching S.
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 1279 - 1283
  • [7] Human Action Recognition Based on Temporal Pyramid of Key Poses Using RGB-D Sensors
    Cippitelli, Enea
    Gambi, Ennio
    Spinsante, Susanna
    Florez-Revuelta, Francisco
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2016, 2016, 10016 : 510 - 521
  • [8] Activity Recognition based on RGB-D and Thermal Sensors for Socially Assistive Robots
    Sorostinean, Mihaela
    Tapus, Adriana
    2018 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2018, : 1298 - 1304
  • [9] INTER PERSON ACTIVITY RECOGNITION USING RGB-D DATA
    Sardeshmukh, M. M.
    Kolte, M. T.
    Sardeshmukh, V. M.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2020, 15 (06): : 3601 - 3614
  • [10] Human Pose Recognition and tracking using RGB-D Camera
    Moussaoui, Imene
    Boubertakh, Hamid
    PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016), 2016, : 515 - 519