Essays about: "object tracking"

Showing result 21 - 25 of 143 essays containing the words object tracking.

  1. 21. AI-based machine vision for retail self-checkout system

    University essay from Lunds universitet/Matematik LTH

    Author : Anton Rigner; [2019]
    Keywords : Object detection; Retail; Automatic Checkout; Artificial Intelligence; Deep Learning; Computer Vision; Technology and Engineering;

    Abstract : In recent years advances in computing power, availability of large annotated datasets and AI algorithms have enabled the rise of reliable object identification and tracking. This thesis describes the development and implementation considerations of a system for object detection in the retail industry. READ MORE

  2. 22. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Gabriel Khajo; [2019]
    Keywords : Object Detection; Extended Kalman Filter; Tracking;

    Abstract : In this thesis we present a detect-tracking algorithm (see figure 3.1) that combines the detection robustness of static region proposal based object detectors, like the faster region convolutional neural network (R-CNN) and the region-based fully convolutional networks (R-FCN) model, with the tracking prediction strength of extended Kalman filters, by using, what we have called, a translating and non-rigid user input region of interest (RoI-) mapping. READ MORE

  3. 23. Comparing head- and eye direction and accuracy during smooth pursuit in an augmented reality environment

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marcus Hogler; [2019]
    Keywords : Augmented reality; Eye tracking; Smooth pursuit; ;

    Abstract : Smooth pursuit is the movement that occurs when the eyes meticulously follow an object in motion. While smooth pursuit can be achieved with a stationary head, it generally relies on the head following the visual target as well. During smooth pursuit, a coordinating vestibular mechanism, shared by both the head and the eyes, is used. READ MORE

  4. 24. Calculating Center of Mass Using List Mode Data from PET Biograph128 mCT-1104

    University essay from KTH/Medicinteknik och hälsosystem; KTH/Medicinteknik och hälsosystem

    Author : Lukas Rane; Henrik Runeskog; [2019]
    Keywords : PET; List Mode; Image Reconstruction; e7-tools; Siemens; Center of Mass; PET; List Mode; Bildrekonstruktion; e7-tools; Siemens; Masscentrum;

    Abstract : A common problem within positron emission tomography examinations of the brain is the motion of the patient. If the patients ́ head moves during an examination all the data acquired after the movement will not be suited for clinical use. This means that a lot of data recovered from PET is not used at all. READ MORE

  5. 25. Object Tracking Achieved by Implementing Predictive Methods with Static Object Detectors Trained on the Single Shot Detector Inception V2 Network

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Richard Dan William Barkman; [2019]
    Keywords : Supervised Machine Learning; Hyperparameter Optimisation; Convolutional Neural Networks; Lagrangian Mechanics; Predictive Methods;

    Abstract : In this work, the possibility of realising object tracking by implementing predictive methods with static object detectors is explored. The static object detectors are obtained as models trained on a machine learning algorithm, or in other words, a deep neural network. READ MORE