Sökning: "visual object tracking"

Visar resultat 1 - 5 av 36 uppsatser innehållade orden visual object tracking.

  1. 1. Comparing Gaze Cues: Avatars versus Humans in Allocating Visual Attention : Eye Tracking Case Study

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

    Författare :Julius Albiz; [2023]
    Nyckelord :Gaze Cue; eye tracking; mixed-method; case study; Gaze Cue; eye tracking; mixad metod; fallstudie;

    Sammanfattning : When designing websites or applications, being able to allocate visual attention to specific parts of an interface is important. One powerful tool that can be used for this is Gaze Cues, which is a social cue that makes use of gaze direction to allocate visual attention in the same direction. LÄS MER

  3. 2. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Författare :Isabella Luppi; [2023]
    Nyckelord :Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER

  4. 3. 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

  5. 4. 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

  7. 5. AATrackT: A deep learning network using attentions for tracking fast-moving and tiny objects : (A)ttention (A)ugmented - (Track)ing on (T)iny objects

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Fredric Lundberg Andersson; [2022]
    Nyckelord :Machine learning; Computer vision; Visual tracking; Attentions; Tiny fast-moving object;

    Sammanfattning : Recent advances in deep learning have made it possible to visually track objects from a video sequence. Moreover, as transformers got introduced in computer vision, new state-of-the-art performances were achieved in visual tracking. LÄS MER