Sökning: "Tracking-by-Detection"

Visar resultat 1 - 5 av 7 uppsatser innehållade ordet Tracking-by-Detection.

  1. 1. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

    Författare :Shihang Zhou; [2023]
    Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER

  3. 2. 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

  4. 3. 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

  5. 4. Comparison of Player Tracking-by-Detection Algorithms in Football Videos

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

    Författare :Suping Shi; [2020]
    Nyckelord :;

    Sammanfattning : In recent years, increasing demands on sports analytics have triggered growing research interest in automatic player tracking-by-detection approaches. Two prominent branches in this area are Convolutional Neural Network (CNN)-based visual object detectors and histogram-based detectors. LÄS MER

  7. 5. Evaluation of Multiple Object Tracking in Surveillance Video

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Axel Nyström; [2019]
    Nyckelord :Multiple Object Tracking; Tracking-by-Detection; Object Detection; Object Tracking; Deep Learning;

    Sammanfattning : Multiple object tracking is the process of assigning unique and consistent identities to objects throughout a video sequence. A popular approach to multiple object tracking, and object tracking in general, is to use a method called tracking-by-detection. LÄS MER