Sökning: "Pedestrian tracking"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden Pedestrian tracking.

  1. 1. Automatic context-dependent driver attention monitoring using eye tracking and digital maps

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Anna Jonsson; Linnéa Holmqvist; [2023]
    Nyckelord :;

    Sammanfattning : Driver distraction is a contributing factor to car accidents here a warning system could potentially prevent some of these accidents by making the driver aware of distraction and redirecting the focus back to driving-related activities. The purpose of this work is to better understand where drivers direct their attention while driving and where the attention should be directed for the driver to be considered attentive. LÄS MER

  3. 2. Clustering on groups for human tracking with 3D LiDAR

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Simon Utterström; [2023]
    Nyckelord :Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

    Sammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER

  4. 3. Multi-Camera Multi-Person Tracking Using Reinforcement Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Axel Kärrholm; Linus Rickman; [2022]
    Nyckelord :Multi-Camera Multi-Object Tracking; Reinforcement Learning; Computer Vision; Machine Learning; Object Detection; Mathematics and Statistics;

    Sammanfattning : The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. LÄS MER

  5. 4. Unsupervised multiple object tracking on video with no ego motion

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

    Författare :Shuai Wu; [2022]
    Nyckelord :Object tracking; Multiple-object tracking; Unsupervised learning; Evaluation metric; Pedestrian tracking; Objektspårning; Spårning av flera objekt; Oövervakad inlärning; Utvärderingsmått; Fotgängarspårning;

    Sammanfattning : Multiple-object tracking is a task within the field of computer vision. As the name stated, the task consists of tracking multiple objects in the video, an algorithm that completes such task are called trackers. LÄS MER

  7. 5. Pedestrian Multiple Object Tracking in Real-Time

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

    Författare :Samuel Wintzell; [2022]
    Nyckelord :Computer Vision; Deep Learning; Multiple Object Tracking; Object Detection; Person Re-identification; Datorseende; Djupinlärning; Spårning av Flera Objekt; Objektdetektering; Personidentifiering;

    Sammanfattning : Multiple object tracking (MOT) is the task of detecting multiple objects in a scene and associating detections over time to form tracks. It is essential for many scene understanding tasks like surveillance, robotics and autonomous driving. LÄS MER