Essays about: "object capability model"

Showing result 1 - 5 of 11 essays containing the words object capability model.

  1. 1. Enhancing Object Detection in Infrared Videos through Temporal and Spatial Information

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

    Author : Shi Jinke; [2023]
    Keywords : Object Detection; Infrared Video Dataset; Temporal and Spatial Information; Objektdetektion; infraröd videodatauppsättning; tids- och rumslig information;

    Abstract : Object detection is a prominent area of research within computer vision. While object detection based on infrared videos holds great practical significance, the majority of mainstream methods are primarily designed for visible datasets. READ MORE

  3. 2. Positioning in Non-Terrestrial Networks

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Soha Emara; [2021]
    Keywords : positioning; 5G; satellite; NTN; Technology and Engineering;

    Abstract : In 5G communications, Non-terrestrial Network (NTN) is envisioned to complement Terrestrial Network (TN) to increase network availability, scalability and continuity. Positioning of User Equipment (UE) is critical for the operation of NTN. Currently, NTN uses Global Navigation Satellite System (GNSS) for positioning. READ MORE

  4. 3. Object Detection with Real-Time Context Adaptation

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

    Author : Arvind Hariraman; [2021]
    Keywords : ;

    Abstract : Visual object detection based on Convolutional Neural Networks (CNNs) isquickly becoming an essential component of many Augmented Reality (AR) applications.Despite of the impressive performance, these state-of-the-art systemshave one obvious weakness: they do not have capability to learn at run-time,from the visual appearance of the target object in a particular test video. READ MORE

  5. 4. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Ricardo Núñez-Prieto; [2019]
    Keywords : Artificial Intelligence; Computer Vision; Machine Learning; Convolutional Neural Networks; FPGA; Sign Language Recognition; Technology and Engineering;

    Abstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE

  6. 5. Classifying Material Defects with Convolutional Neural Networks and Image Processing

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Jawid Heidari; [2019]
    Keywords : artificial neural network; CNN; machine learning; convolutional neural network; image processing;

    Abstract : Fantastic progress has been made within the field of machine learning and deep neural networks in the last decade. Deep convolutional neural networks (CNN) have been hugely successful in imageclassification and object detection. These networks can automate many processes in the industries and increase efficiency. READ MORE