Sökning: "poseuppskattning"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet 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

    Master-uppsats, KTH/Medicinteknik och hälsosystem

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

    Sammanfattning : 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. 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. Using pose estimation to support video annotation for linguistic use : Semi-automatic tooling to aid researchers

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

    Författare :Gustav Gerholm; [2022]
    Nyckelord :MINT project; pose estimation; video annotating; HyperPose; 3D-distance approximation; MINT-projektet; poseuppskattning; videoannotering; HyperPose; uppskattning av 3d-sträcka;

    Sammanfattning : Video annotating is a lengthy manual process. A previous research project, MINT, produced a few thousand videos of child-parent interactions in a controlled environment in order to study children’s language development. These videos were filmed across multiple sessions, tracking the same children from the age of 3 months to 7 years. LÄS MER

  5. 4. Research and Application of 6D Pose Estimation for Mobile 3D Cameras

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

    Författare :Qian Ruichao; [2022]
    Nyckelord :6 Degree-of-Freedom DoF ; pose estimation; deep learning; Light Detection and Ranging LiDAR ; structure light; TrueDepth; 6 frihetsgrader DoF ; poseringsuppskattning; djupinlärning; ljusdetektion och avstånd LiDAR ; strukturljus; TrueDepth;

    Sammanfattning : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. LÄS MER

  7. 5. Deep Visual Inertial-Aided Feature Extraction Network for Visual Odometry : Deep Neural Network training scheme to fuse visual and inertial information for feature extraction

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

    Författare :Franco Serra; [2022]
    Nyckelord :Feature extraction network; Visual Odometry; IMU; Neural Network; Pose estimation; Feature extraction; Visuell Odometri; IMU; Neuralt nätverk; Poseuppskattning;

    Sammanfattning : Feature extraction is an essential part of the Visual Odometry problem. In recent years, with the rise of Neural Networks, the problem has shifted from a more classical to a deep learning approach. This thesis presents a fine-tuned feature extraction network trained on pose estimation as a proxy task. LÄS MER