Sökning: "Visual Location Recognition"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Visual Location Recognition.

  1. 1. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

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

    Författare :Shengyao Shangguan; [2023]
    Nyckelord :Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

    Sammanfattning : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. LÄS MER

  3. 2. Deep visual place recognition for mobile surveillance services : Evaluation of localization methods for GPS denied environment

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Linus Blomqvist; [2022]
    Nyckelord :Visual place recognition; GPS denied environment localization; PyTorch; Deep learning;

    Sammanfattning : Can an outward facing camera on a bus, be used to recognize its location in GPS denied environment? Observit, provides cloud-based mobile surveillance services for bus operators using IP cameras with wireless connectivity. With the continuous gathering of video information, it opens up new possibilities for additional services. LÄS MER

  4. 3. 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

  5. 4. Indoor scene verification : Evaluation of indoor scene representations for the purpose of location verification

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

    Författare :Filip Finfando; [2020]
    Nyckelord :computer vision; perceptual similarity; visual place recognition; indoor scene localization; deep neural networks; datorseende; perceptuella likheter; visuell platsigenkänning; inomhusbild lokalisering; djupa neuronnät;

    Sammanfattning : When human’s visual system is looking at two pictures taken in some indoor location, it is fairly easy to tell whether they were taken in exactly the same place, even when the location has never been visited in reality. It is possible due to being able to pay attention to the multiple factors such as spatial properties (windows shape, room shape), common patterns (floor, walls) or presence of specific objects (furniture, lighting). LÄS MER

  7. 5. Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers

    Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Konstantin-Klemens Lurz; [2018]
    Nyckelord :Machine Learning; Natural Language Processing; Medical Papers; Convolutional Neural Networks; Word2Vec; Physics and Astronomy;

    Sammanfattning : Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field of Natural Language Processing (NLP) during the last years. In this project, CNNs are used on top of the Word2Vec word representation for a sentence classification task on medical research articles. LÄS MER