Sökning: "Uppskattning av mänsklig pose"

Hittade 3 uppsatser innehållade orden Uppskattning av mänsklig pose.

  1. 1. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER

  3. 2. 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. 3. Skeleton Tracking for Sports Using LiDAR Depth Camera

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Panagiotis Efstratiou; [2021]
    Nyckelord :Depth camera; Human pose estimation; Kinematics; Motion Capture; Skeletal tracking; Djupkamera; Uppskattning av mänsklig pose; Kinematik; Rörelseregistreringssystem; Skelettspårning;

    Sammanfattning : Skeletal tracking can be accomplished deploying human pose estimation strategies. Deep learning is shown to be the paramount approach in the realm where in collaboration with a ”light detection and ranging” depth camera the development of a markerless motion analysis software system seems to be feasible. LÄS MER