Sökning: "Människodetektering"

Hittade 2 uppsatser innehållade ordet Människodetektering.

  1. 1. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Anna Phan; Rogelio Medina; [2022]
    Nyckelord :Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Sammanfattning : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. LÄS MER

  3. 2. An inquiry into the efficacy ofconvolutional neural networks in low-resolution video feeds for object detection

    Master-uppsats, KTH/Matematisk statistik

    Författare :Mirza Okanovic; [2019]
    Nyckelord :Neural networks; statistics; applied mathematics; person detection; CNN; Neurala nätverk; statistik; tillämpad matematik; person detektion; CNN;

    Sammanfattning : In this thesis, various famous models have been investigated and compared to a custom model for people detection in low resolution video feeds. YOLOv3 and SSD in particular are famous models which have, at their time, produced state of the art results on competitions such as ImageNet and COCO. LÄS MER