Sökning: "DeepSORT"

Hittade 5 uppsatser innehållade ordet DeepSORT.

  1. 1. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

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

    Författare :Qian Zhou; [2023]
    Nyckelord :Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

    Sammanfattning : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. LÄS MER

  3. 2. Comparison of camera data types for AI tracking of humans in indoor combat training

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Viktor Zenk; Willy Bach; [2022]
    Nyckelord :Artificial intelligence; Machine learning; Multiple object tracking; Object detection; NIR; Depth camera;

    Sammanfattning : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. LÄS MER

  4. 3. OSPREY: Person Re-Identification in the sport of Padel : Utilizing One-Shot Person Re-identification with locally aware transformers to improve tracking

    Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

    Författare :Måns Svensson; Jim Hult; [2022]
    Nyckelord :AI; Person Re-identification; Re-id; Transformer; Padel; Computer Vision; Transfer-learning; Deep Learning;

    Sammanfattning : This thesis is concerned with the topic of person re-identification. Many tracking algorithms today cannot keep track of players reentering the scene from different angles and times. Therefore, in this thesis, current literature is explored to gather information about the topic, and a current state-of-the-art model is tested. LÄS MER

  5. 4. Use of improved Deep Learning and DeepSORT for Vehicle estimation

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

    Författare :Danna Zheng; [2022]
    Nyckelord :YOLOv4 algorithm; deep learning; DeepSORT; vehicle detection; attention mechanism; vehicle tracking; YOLOv4-algoritmen; djupinlärning; DeepSORT; fordonsdetektering; fordonsspårning;

    Sammanfattning : Intelligent Traffic System (ITS) has high application value in nowadays vehicle surveillance and future applications such as automated driving. The crucial part of ITS is to detect and track vehicles in real-time video stream with high accuracy and low GPU consumption. LÄS MER

  7. 5. Scenanalys - Övervakning och modellering

    Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Hani Ali; Pontus Sunnergren; [2021]
    Nyckelord :Machine Learning; Convolutional Neural Network; Artificial Neural Network; YOLOv3; You Only Look Once; Python; Tensorflow; DeepSORT; Faltningsnät; Maskininlärning; Självkörande Bilar; Python;

    Sammanfattning : Självkörande fordon kan minska trafikstockningar och minska antalet trafikrelaterade olyckor. Då det i framtiden kommer att finnas miljontals autonoma fordon krävs en bättre förståelse av omgivningen. LÄS MER