Sökning: "optiskt flöde"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden optiskt flöde.

  1. 1. A Comparison Between KeyFrame Extraction Methods for Clothing Recognition

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

    Författare :Gabriel Lindgren; [2023]
    Nyckelord :key frame extraction; video analyzis; yolo; yolov7; optical flow; nyckelbildutvinning; videoanalys; yolo; yolov7; optiskt flöde;

    Sammanfattning : With an ever so high video consumption, applications and services need to use smart approaches to make the experience better for their users. By using key frames from a video, useful information can be retrieved regarding the entire video, and used for better explaining the content. LÄS MER

  3. 2. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses

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

    Författare :Kristín Sól Ólafsdóttir; [2023]
    Nyckelord :Visual SLAM; RGB-D Vision; Dynamic Objects; Object Detection; Multi-Object Tracking; Image Segmentation; Optical Flow; Visual SLAM; RGB-D Syn; Dynamiska objekt; Objektdetektering; Multi-Objekt Spårning; Bildsegmentation; Optiskt Flöde;

    Sammanfattning : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. LÄS MER

  4. 3. Using Optical Flow to provide robustness for animage sensor based multiangulation positioning system

    Master-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :Fredrik Anderson; [2022]
    Nyckelord :;

    Sammanfattning : The use of image sensors in positioning systems has increased significantly the last years, spanning from complex SLAM-systems to simpler triangulation based methods. In the latter case, occlusion of anchor points may render the triangulation unsolvable, and any practical implementation must address this problem. LÄS MER

  5. 4. Influential Learning : Knowledge Sharing between Artificial Neural Networks for Autonomous Vehicles

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

    Författare :Jonny Sparrenhök; [2021]
    Nyckelord :;

    Sammanfattning : Autonomous vehicles may be a part of our future no matter if we like it or not. The technology developed for self-driving have already outperformed humans in multiple aspects but involves systems that are prone to failure. LÄS MER

  7. 5. Towards Visual-Inertial SLAM for Dynamic Environments Using Instance Segmentation and Dense Optical Flow

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

    Författare :Luis Alejandro Sarmiento Gonzalez; [2021]
    Nyckelord :Semantic SLAM; Stereo Vision; VisualInertial SLAM; Motion likelihood; Stereo disparity; Dense optical flow; Dynamic objects.; Semantisk SLAM; Stereo Vision; Visual-Inertial SLAM; Sannolikhet för rörelse; Stereoskillnader; Tätt optiskt flöde; Dynamiska objekt.;

    Sammanfattning : Dynamic environments pose an open problem for the performance of visual SLAM systems in real-life scenarios. Such environments involve dynamic objects that can cause pose estimation errors. LÄS MER