Sökning: "Video Action Recognition"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Video Action Recognition.

  1. 1. Autonomous Patient Monitoring in the Intermediate Care Unit by Live Video Analysis

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Benjamin Jefford-Baker; [2022]
    Nyckelord :Patient Monitoring; Video Action Recognition; Real-time Prediction; Patientövervakning; Videohandlingsigenkänning; Realtidsprediktion;

    Sammanfattning : Patients admitted to intermediate care units require frequent monitoring by hospital personnel. An automatisation of this monitoring would save a considerable amount of resources and could also improve the quality of the treatment. LÄS MER

  3. 2. Computer Vision in Fitness: Exercise Recognition and Repetition Counting

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Anna Barysheva; [2022]
    Nyckelord :Exercise classification; human action recognition; repetition counting; skeletal motion recognition; unsupervised machine learning; Övningsklassificering; igenkänning av mänsklig handling; upprepningsräkning; igenkänning av skelettrörelse; oövervakad maskininlärning;

    Sammanfattning : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. LÄS MER

  4. 3. Pose Classification of Horse Behavior in Video : A deep learning approach for classifying equine poses based on 2D keypoints

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

    Författare :Michaela Söderström; [2021]
    Nyckelord :Deep Learning; Computer Visison; Horse behavior; Pose estimation; 2D key- points; Pose classification; DeepLabCut; Djupinlärning; Datorseende; Hästbeteende; Pose-estimering; Nyckelpunkter; Intressepunkter; Pose-klassificering; DeepLabCut;

    Sammanfattning : This thesis investigates whether Computer Vision can be a useful tool in interpreting the behaviors of monitored horses. In recent years, research in the field of Computer Vision has primarily focused on people, where pose estimation and action recognition are popular research areas. LÄS MER

  5. 4. The ghost in the machine : Exploring the impact of noise in datasets used for graph-based action recognition

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

    Författare :Ruben Rehn; Ricky Molén; [2021]
    Nyckelord :;

    Sammanfattning : Human action recognition is the task of classifying human movement and actions from video data. To benchmark different algorithms within the action recognition field, a common benchmark dataset, called NTU-RGB+D is used. However, this dataset is not without its issues as some samples contain data that is mistakenly captured as a human. LÄS MER

  7. 5. Genre-based Video Clustering using Deep Learning : By Extraction feature using Object Detection and Action Recognition

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Abhinay Vellala; [2021]
    Nyckelord :Bag-of-features; Object detection; Action recognition; Multinomial mixture model;

    Sammanfattning : Social media has become an integral part of the Internet. There have been users across the world sharing content like images, texts, videos, and so on. There is a huge amount of data being generated and it has become a challenge to the social media platforms to group the content for further usage like recommending a video. LÄS MER