Sökning: "Human pose estimation"

Visar resultat 6 - 10 av 29 uppsatser innehållade orden Human pose estimation.

  1. 6. Dense Foot Pose Estimation From Images

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

    Författare :Sharif Sharif; [2023]
    Nyckelord :Dense Foot Pose Estimation; Computer vision; Deep Learning; Dense Correspondence; Uppskattning Av Tät Fotställning; Datorseende; Djupinlärning; Tät Korrespondens;

    Sammanfattning : There is ongoing research into building dense correspondence between digital images of objects in the world and estimating the 3D pose of these objects. This is a difficult area to conduct research due to the lack of availability of annotated data. Annotating each pixel is too time-consuming. LÄS MER

  3. 7. Human pose estimation in low-resolution images

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

    Författare :Hugo Nilsson; [2022]
    Nyckelord :Human Pose Estimation; Low-Resolution Images; Heatmap Decoding; Computer Vision; Deep Learning; Mänsklig Poseuppskattning; Lågupplösta Bilder; Färgdiagram Avkodning; Datorseende; Djupinlärning;

    Sammanfattning : This project explores the understudied, yet important, case of human pose estimation in low-resolution images. This is done in the use-case of images with football players of known scale in the image. Human pose estimation can mainly be done in two different ways, the bottom-up method and the top-down method. LÄS MER

  4. 8. Designing for Body Awareness : Exploring the Interaction Between Screen and Participant in Pre-Recorded Online Workouts

    Kandidat-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Karin Ollermark; [2022]
    Nyckelord :Interaction design; body awareness; kinaesthetics; online workouts; movement interaction;

    Sammanfattning : This thesis explores how we might design the interaction between the screen and participant in a pre-recorded online workout to enhance body awareness. This thesis uses a user-centred design approach combined with autoethnographic research to address the challenges of pre-recorded video workouts. LÄS MER

  5. 9. 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

  7. 10. 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