• Automated Multiview Safety Analysis at Complex Road Intersections

      Moayed, Zahra (Auckland University of Technology, 2020)
      The safety of pedestrians and vehicles at traffic intersections is a major concern for transport practitioners these days due to the high number of reported accidents and fatalities. Computer vision as an essential part ...
    • Computer Vision and Machine Learning for Glaucoma Detection

      Norouzifard, Mohammad (Auckland University of Technology, 2020)
      Deep learning based on computer vision and machine learning is an emerging technology in both the medical imaging industry and academia. Despite the existence of some commercial glaucoma detection systems such as retinal ...
    • Development of Spiking Neural Network Methods for Spatio-temporal Brain Data Analysis

      Doborjeh, Maryam (Auckland University of Technology, 2019)
      This thesis proposes methods employing an evolving Spiking Neural Network (SNN) architecture for the analysis of spatio-temporal neuroimaging data. Multivariate Spatio-Temporal Brain Data (STBD) is intrinsically complex ...
    • Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes

      Chien, Hsiang-Jen (Auckland University of Technology, 2018)
      Digitalisation of a 3D scene has been a fundamental yet highly active topic in the field of computer science. The acquisition of detailed 3D information on street sides is essential to many applications such as driver ...
    • Hyperspectral Imaging and Deep Learning for Food Safety Assessment

      Al-Sarayreh, Mahmoud (Auckland University of Technology, 2020)
      Hyperspectral imaging (HSI) systems are valuable tools for merging both spectroscopic and computer vision technologies in a single system with the advantage of providing the physical attributes and chemical distribution ...
    • Improved stixels towards efficient traffic-scene representations

      Al-Ani, Noor (Auckland University of Technology, 2019)
      Stixels are medium-level data representations used for the development of computer vision modules for self-driving cars. A stixel is a column of stacked space cubes ranging from the road surface to the visual end of an ...
    • In Situ Leaf Growth Measurements Using Digital Image Analysis

      Hilty, Jonas (Auckland University of Technology, 2019)
      Plant growth is a broad topic that is of interest in many different research fields from the basics of plant functioning, to agricultural research, and ecology. In this thesis, I first distinguish different aspects of plant ...
    • Tracking Multiple Targets in Warehouses

      Fouzia, Syeda (Auckland University of Technology, 2020)
      Optimising underlying processes and increasing work safety for employees are two key concerns for the warehouse industry. Common technologies for warehouses are warehouse management systems (WMS) and radio frequency ...
    • Using Stereo Vision and Transfer Learning to Identify Potholes on the Road

      Dhiman, Amita (Auckland University of Technology, 2019)
      Identification of dangerous road distress on road surfaces is essential to many applications such as improved driving comfort, safety, the country’s economy and better traffic efficiency. For these reasons, research around ...