Sökning: "object tracker"

Visar resultat 1 - 5 av 44 uppsatser innehållade orden object tracker.

  1. 1. PTZ Handover: Tracking an object across multiple surveillance cameras

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Alexander Persson; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Tracking objects in a scene is a crucial task in accomplishing surveillance that enhances security and provides valuable information about the events happening at the site. For this task, the PTZ (pan-tilt-zoom) cameras can be utilized to achieve fluid tracking as they provide all-around surveillance with zoom capabilities. LÄS MER

  3. 2. A Bidirectional ApproachApplied on Deeper and WiderSiamese Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Tobias Arnehall Johansson; [2023]
    Nyckelord :;

    Sammanfattning : Object tracking and object detection are two components within computer vision that have been widely improved during the last decade, in terms of precision and speed. This is mainly because deep learning has been incorporatedinto the algorithms, but also because new techniques and insights within the area are frequently released. LÄS MER

  4. 3. Automatic object detection and tracking for eye-tracking analysis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Liv Cederin; Ulrika Bremberg; [2023]
    Nyckelord :Computer Vision; Object Detection; Object Tracking; Eye-Tracking; Annotation; Deblurring; Deep Learning; Motion Blur;

    Sammanfattning : In recent years, eye-tracking technology has gained considerable attention, facilitating analysis of gaze behavior and human visual attention. However, eye-tracking analysis often requires manual annotation on the objects being gazed upon, making quantitative data analysis a difficult and time-consuming process. LÄS MER

  5. 4. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Hjalmar Lind; Robin Holtz Bernståle; [2022]
    Nyckelord :Deep Learning; Point Cloud; Segmentation; Classification; Tracking; LiDAR; PointNet; Technology and Engineering;

    Sammanfattning : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. LÄS MER

  7. 5. Efficient multiple hypothesis tracking using a purely functional array language

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Marcus Nolkrantz; [2022]
    Nyckelord :multiple object tracking; multiple hypothesis tracking; tracking-by-detection; GPGPU; GPU code abstraction; functional programming; Futhark;

    Sammanfattning : An autonomous vehicle is a complex system that requires a good perception of the surrounding environment to operate safely. One part of that is multiple object tracking, which is an essential component in camera-based perception whose responsibility is to estimate object motion from a sequence of images. LÄS MER