Investigating the Effects of Image Correction Through Affine Transformations on Licence Plate Recognition
- Authors: Boby, Alden , Brown, Dane L , Connan, James , Marais, Marc
- Date: 2022
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/465190 , vital:76581 , xlink:href="https://ieeexplore.ieee.org/abstract/document/9856380"
- Description: Licence plate recognition has many real-world applications, which fall under security and surveillance. Deep learning for licence plate recognition has been adopted to improve existing image-based processing techniques in recent years. Object detectors are a popular choice for approaching this task. All object detectors are some form of a convolutional neural network. The You Only Look Once framework and Region-Based Convolutional Neural Networks are popular models within this field. A novel architecture called the Warped Planar Object Detector is a recent development by Zou et al. that takes inspiration from YOLO and Spatial Network Transformers. This paper aims to compare the performance of the Warped Planar Object Detector and YOLO on licence plate recognition by training both models with the same data and then directing their output to an Enhanced Super-Resolution Generative Adversarial Network to upscale the output image, then lastly using an Optical Character Recognition engine to classify characters detected from the images.
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- Date Issued: 2022
Assessing ecosystem response to multiple disturbances and climate change in South Africa using ground-and satellite-based measurements and model
- Authors: Kutsch, Werner L , Falge, E M , Brümmer, Christian , Mukwashi, K , Schmullius, C , Hüttich, C , Odipo, V , Scholes, Robert J , Mudau, A , Midgley, Guy F , Stevens, N , Hickler, Thomas , Scheiter, Simon , Martens, C , Twine, Wayne , Iiyambo, T , Bradshaw, Karen L , Lück, W , Lenfers, Ulfia A , Thiel-Clemen, T
- Date: 2015
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/475183 , vital:77782 , xlink:href="https://ieeexplore.ieee.org/abstract/document/9856380"
- Description: Sub-Saharan Africa currently experiences rapidly growing human population, intrinsically tied to substantial changes in land use on shrubland, savanna and mixed woodland ecosystems due to over-exploitation. Significant conversions driving degradation, affecting fire frequency and water availability, and fueling climate change are expected to increase in the immediate future. However, measured data of greenhouse gas emissions as affected by land use change are scarce to entirely lacking from this region. The project 'Adaptive Resilience of Southern African Ecosystems' (ARS AfricaE) conducts research and develops scenarios of ecosystem development under climate change, for management support in conservation or for planning rural area development. This will be achieved by (1) creation of a network of research clusters (paired sites with natural and altered vegetation) along an aridity gradient in South Africa for ground-based micrometeorological in-situ measurements of energy and matter fluxes, (2) linking biogeochemical functions with ecosystem structure, and eco-physiological properties, (3) description of ecosystem disturbance (and recovery) in terms of ecosystem function such as carbon balance components and water use efficiency, (4) set-up of individual-based models to predict ecosystem dynamics under (post) disturbance managements, (5) combination with long-term landscape dynamic information derived from remote sensing and aerial photography, and (6) development of sustainable management strategies for disturbed ecosystems and land use change. Emphasis is given on validation (by a suite of field measurements) of estimates obtained from eddy covariance, model approaches and satellite derivations.
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- Date Issued: 2015
Towards an Extensible Generic Agent-Based Simulator for Mammals
- Authors: Carse, Stephen , Bradshaw, Karen L
- Date: 2015
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/475296 , vital:77793 , xlink:href="https://ieeexplore.ieee.org/abstract/document/9856380"
- Description: Modelling tools are widely used by national parks, both within South Africa and in countries around the world. The modelling of animal behaviour, particularly in South Africa and other African countries, is well established. These models, however, tend to be developed with one particular application and species in mind and are not reusable in other scenarios, requiring further development work for the addition of another species. This paper presents an approach towards developing an agent-based generic system that simulates a range of mammal behaviours by building a set of core behaviours that can be parameterised according to the needs of each species. The system uses XML notation for the definition of a species and provides a GUI tool that produces the XML required to simulate a species and set up the initial animals present in the simulation. Various feedback tools allow the simulation to be examined and analysed in detail to ascertain the success of the simulation of the mammal behaviours and those behaviours' adaptation to various different species.
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- Date Issued: 2015