Essays about: "Mänsklig Poseuppskattning"

Found 3 essays containing the words Mänsklig Poseuppskattning.

  1. 1. Feasibility of Mobile Phone-Based 2D Human Pose Estimation for Golf : An analysis of the golf swing focusing on selected joint angles

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Elisa Perini; [2023]
    Keywords : Golf; Human Pose Estimation; Sports Analytics; Computer Vision; Golf; Mänsklig Poseuppskattning; Sportanalys; Datorseende;

    Abstract : Golf is a sport where the correct technical execution is important for performance and injury prevention. The existing feedback systems are often cumbersome and not readily available to recreational players. To address this issue, this thesis explores the potential of using 2D Human Pose Estimation as a mobile phone-based swing analysis tool. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  4. 3. Unsupervised 3D Human Pose Estimation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE