Sökning: "Multiple-object tracking"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden Multiple-object tracking.

  1. 1. Efficient CNN-based Object IDAssociation Model for Multiple ObjectTracking

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Parisasadat Danesh; [2023]
    Nyckelord :Machine Learning; Deep Learning; Multiple Object Tracking;

    Sammanfattning : .... LÄS MER

  3. 2. Comparison of camera data types for AI tracking of humans in indoor combat training

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

    Författare :Viktor Zenk; Willy Bach; [2022]
    Nyckelord :Artificial intelligence; Machine learning; Multiple object tracking; Object detection; NIR; Depth camera;

    Sammanfattning : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. LÄS MER

  4. 3. 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

  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