Sökning: "3D Human Pose Estimation"

Visar resultat 6 - 10 av 15 uppsatser innehållade orden 3D Human Pose Estimation.

  1. 6. Evaluation of 3D motion capture data from a deep neural network combined with a biomechanical model

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Anna Rydén; Amanda Martinsson; [2021]
    Nyckelord :Human pose estimation; motion capture; deep neural network; CNN; MargiPose; biomechanical modelling; AnyBody modelling system;

    Sammanfattning : Motion capture has in recent years grown in interest in many fields from both game industry to sport analysis. The need of reflective markers and expensive multi-camera systems limits the business since they are costly and time-consuming. LÄS MER

  3. 7. Unsupervised 3D Human Pose Estimation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sri Datta Budaraju; [2021]
    Nyckelord :Computer Vision; Projective Geometry; Deep Learning; Unsupervised Learning; 3D Human Pose Estimation; GAN; AutoEncoder; Hybrid Generative Model; Self Supervision;

    Sammanfattning : The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder Generative Adversarial Network) hybrid network. The method learns to lift poses from 2D to 3D using selfsupervision and adversarial learning techniques. LÄS MER

  4. 8. 3D POSE ESTIMATION IN THE CONTEXT OF GRIP POSITION FOR PHRI

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Jacob Norman; [2021]
    Nyckelord :3D pose estimation; human pose estimation; pose estimation; rotation-invariant;

    Sammanfattning : For human-robot interaction with the intent to grip a human arm, it is necessary that the ideal gripping location can be identified. In this work, the gripping location is situated on the arm and thus it can be extracted using the position of the wrist and elbow joints. LÄS MER

  5. 9. 3D Human Pose and Shape-aware Modelling

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Polydefkis Gkagkos; [2020]
    Nyckelord :;

    Sammanfattning : The focus of this thesis is the task of 3D pose estimation while taking into consideration the shape of a person in a single image. For rendering the human pose and the body shape we use a newly proposed statistical model, the SMPL [1]. We train a neural network to estimate the shape and the pose of a person in an image. LÄS MER

  7. 10. Real Time Gym Activity Detection using Monocular RGB Camera

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Mohammad Samer Alshatta; [2020]
    Nyckelord :ActivityDetection; RNN; GymActionDetection; PoseBasedActionDetection; DeepLearning; SkeletonBasedOnlineActionDetection;

    Sammanfattning : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. LÄS MER