Sökning: "computer vision"

Visar resultat 1 - 5 av 603 uppsatser innehållade orden computer vision.

  1. 1. Ocean Exploration with Artificial Intelligence

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Sarah Al-Khateeb; Lisa Bodlak; [2021-07-06]
    Nyckelord :computer science; deep learning; generative adversarial networks; data augmentation; object detection; underwater image; computer vision;

    Sammanfattning : Large and diverse data is crucial to train object detection systems properly andachieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible.Working with limited data can result in overfitting and poor performance. LÄS MER

  2. 2. 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

  3. 3. Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Elias Åkeborg; [2021]
    Nyckelord :Machine learning; Computer vision; Feature-extraction; Classification; Camera Calibration; DeepLab; U-Net; Ridge Detection; Sub-pixel optimization; Artificial Intelligence; Technology and Engineering;

    Sammanfattning : Machine learning as a field has expanded in an explosive manner, with more companies interested in using the technology. One of these companies, Spiideo, uses Machine learning to automatically stream and record sports, highlighting key events - all automatically without a cameraman. LÄS MER

  4. 4. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Christian von Koch; William Anzén; [2021]
    Nyckelord :deep learning; deep neural network; computer vision; image segmentation; iron ore pelletising plant; furnace slag-detection; U-Net; PSPNet;

    Sammanfattning : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. LÄS MER

  5. 5. Semantic segmentation of off-road scenery on embedded hardware using transfer learning

    Master-uppsats, KTH/Mekatronik

    Författare :Filip Elander; [2021]
    Nyckelord :Semantic Segmentation; forestry navigation; Deep Neural Network; autonomous navigation; residual neural network; Convolutional neural network; Semantisk Segmentering; Autonom Terrängnavigering; Residuala Nätverk; Konvolutionellt Neuralt Nätverk; Autonom navigering;

    Sammanfattning : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. LÄS MER