Essays about: "Faster R-CNN"

Showing result 1 - 5 of 9 essays containing the words Faster R-CNN.

  1. 1. 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

  2. 2. Comparing machine learning methods for classification and generation of footprints of buildings from aerial imagery

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Joakim Jerkenhag; [2019]
    Keywords : Machine Learning; Computer Vision; Region Convolutional Neural Network; Geographical Data; Aerial Imagery;

    Abstract : The up to date mapping data is of great importance in social services and disaster relief as well as in city planning. The vast amounts of data and the constant increase of geographical changes lead to large loads of continuous manual analysis. READ MORE

  3. 3. Machine visual feedback through CNN detectors : Mobile object detection for industrial application

    University essay from Mittuniversitetet/Institutionen för elektronikkonstruktion

    Author : Kastriot Rexhaj; [2019]
    Keywords : Object detection; CNN; SSD; Faster R-CNN; YOLO; TensorFlow; ARM; Android; Deep learning; Machine vision.;

    Abstract : This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visual-feedback system that can help operators and other personnel to more easily interact with their machines and equipment. New advancements in deep learning, specifically CNN models, have been exploring neural networks with detection-capabilities. READ MORE

  4. 4. Defect Detection and OCR on Steel

    University essay from Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Author : Jakob Grönlund; Angelina Johansson; [2019]
    Keywords : Defect detection; OCR; Convolutional Autoencoder; Faster R-CNN;

    Abstract : In large scale productions of metal sheets, it is important to maintain an effective way to continuously inspect the products passing through the production line. The inspection mainly consists of detection of defects and tracking of ID numbers. READ MORE

  5. 5. Computer vision as a tool for forestry

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Filip Bång; [2019]
    Keywords : object detection; computer vision; forestry;

    Abstract : Forestry is a large industry in Sweden and methods have been developed to try to optimize the processes in the business. Yet computer vision has not been used to a large extent despite other industries using computer vision with success. READ MORE