Sökning: "Feature Extraction and Fusion Network"

Hittade 3 uppsatser innehållade orden Feature Extraction and Fusion Network.

  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. Semantic Scene Segmentation using RGB-D & LRF fusion

    Master-uppsats, Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

    Författare :Harald Lilja; [2020]
    Nyckelord :RGB-D; LiDAR; CNN; deep multimodal fusion; robotics; autonomous vehicles;

    Sammanfattning : In the field of robotics and autonomous vehicles, the use of RGB-D data and LiDAR sensors is a popular practice for applications such as SLAM[14], object classification[19] and scene understanding[5]. This thesis explores the problem of semantic segmentation using deep multimodal fusion of LRF and depth data. LÄS MER

  4. 3. Towards Reliable Computer Vision in Aviation: An Evaluation of Sensor Fusion and Quality Assessment

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Emil Björklund; Johan Hjorth; [2020]
    Nyckelord :Aviation; Image Fusion; Image Registration; Image Quality Assessment;

    Sammanfattning : Research conducted in the aviation industry includes two major areas, increased safety and a reduction of the environmental footprint. This thesis investigates the possibilities of increased situational awareness with computer vision in avionics systems. LÄS MER