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Browsing by Impact Area "Optronic Sensor Systems"

Now showing items 1-17 of 17

Acceleration of hidden Markov model fitting using graphical processing units, with application to low-frequency tremor classification

Author: Stoltz, M ; Stoltz, George G ; Obara, K ; Wang, T ; Bryant, D Date: Nov 2021 Hidden Markov models (HMMs) are general purpose models for time-series data widely used across the sciences because of their flexibility and elegance. Fitting HMMs can often be computationally demanding and time consuming, particularly when ... Read more
Biometric recognition of infants using fingerprint, iris and ear biometrics

Author: Moolla, Yaseen ; De Kock, Antonie J ; Mabuza-Hocquet, Gugulethu P ; Ntshangase, Cynthia S ; Nelufule, Nthatheni ; Khanyile, Nontokozo P Date: Feb 2021 Biometric recognition is often used for adults for a variety of purposes where an individual’s identity must be ascertained. However, the biometric recognition of children is an unsolved challenge. Solving this challenge could protect children ... Read more
Characterizing optical filters for wildfire detectors

Author: Mashaba, Nikiwe P ; Griffith, DJ Date: Nov 2020 Near infrared detectors have gained popularity, mainly in the military, because of their capability of detecting wildfires. The Council for Scientific and Industrial Research (CSIR) focuses on the development and deployment of wildfire detectors ... Read more
Circular interpolation techniques towards accurate segmentation of iris biometric images for infants

Author: Nelufule, Nthatheni ; Mabuza-Hocquet, Gugulethu P ; De Kock, Antonie J Date: Jan 2020 In most biometric modalities, recognition and authentication methods for adults have already been fully designed, developed and commercially available. However, for infants and children who are the most vulnerable population to abduction, ... Read more
Circular interpolation techniques towards accurate segmentation of iris biometric images for infants (conference paper)

Author: Nelufule, Nthatheni ; Mabuza-Hocquet, Gugulethu P ; De Kock, Antonie J Date: Jan 2020 In most biometric modalities, recognition and authentication methods for adults have already been fully designed, developed and commercially available. However, for infants and children who are the most vulnerable population to abduction, ... Read more
Comprehensive evaluation of blind single image deblurring algorithms on real-world blurs

Author: Zandamela, Frank ; Ratshidaho, Thikhathali T ; Kunene, Dumisani C ; Nana, Muhammad A Date: Sep 2021 In literature, several approaches have been used to evaluate the performance of deblurring algorithms on synthetically generated image datasets. The used image datasets only consist of motion-blurred images and do not consider depth variation. ... Read more
Cross-dataset performance evaluation of deep learning distracted driver detection algorithms

Author: Zandamela, Frank ; Ratshidaho, Terence ; Nicolls, F ; Stoltz, George G Date: Nov 2022 Deep learning has gained traction due its supremacy in terms of accuracy and ability to automatically learn features from input data. However, deep learning algorithms can sometimes be flawed due to many factors such as training dataset, ... Read more
Detecting wildfires using unmanned aerial vehicle with near infrared optical imaging sensor

Author: Magidimisha, Edwin ; Faniso-Mnyaka, Zimbini ; Naidoo, Seelenthren ; Nana, Muhammad A Date: Apr 2023 The severity of wildland vegetation fires is expected to grow in response to climate change. Therefore, the price of combating fires will likewise go up while still posing a serious risk to the firefighters. Various countries have invested ... Read more
The effects of image smoothing on CNN-based detectors

Author: Skosana, Vusi J ; Ngxande, M Date: Jan 2020 Edge-preserving smoothing filters have been shown to improve generalisation performance on the HOG features with a SVM classifier. However, not all smoothing filters and parameters lead to better performance. The effects of smoothing filters ... Read more
Enhancing distracted driver detection with human body activity recognition using deep learning

Author: Zandamela, Frank ; Nicolls, F ; Kunene, Dumisani C ; Stoltz, George G Date: Dec 2023 Deep learning has gained traction due to its supremacy in terms of accuracy and ability to automatically learn features from input data. The literature proposes various approaches to detect distracted drivers. The performance of these algorithms ... Read more
Image quality assessment methods for near-infrared wildfire imagery

Author: Faniso-Mnyaka, Zimbini ; Skosana, Vusi J ; Nana, Muhammad A ; Magidimisha, Edwin Date: Oct 2022 Over the past two decades, there has been a surge of interest in the study of image quality assessment due to its broad applicability in many fields. Satellites and other remote sensing applications have been collecting vital data that is ... Read more
Improving spatial domain based image formation through compressed sensing

Author: Stoltz, George G ; Nel, AL Date: Oct 2020 In this paper, we improve image reconstruction in a single-pixel scanning system by selecting an detector optimal field of view. Image reconstruction is based on compressed sensing and image quality is compared to interpolated staring arrays. ... Read more
Performance estimation of a real-time Rosette imager

Author: Stoltz, George G ; Stoltz, M Date: Sep 2020 In this paper, we model a real-time feasible rosette imager, consisting of a rosette scanner, an optical sensor and a deterministic image reconstruction algorithm. We fine-tune the rosette imager through selecting the appropriate sensor field ... Read more
Remote Sensing of Aerosol Optical Depth (AOD) over Pretoria, South Africa

Author: Faniso, Zimbini ; Magimisha, E ; Malatji, T Date: Jul 2021 This paper presents the analysis of Aerosol Optical Depth (AOD) level data monitored through the Cimel CE 318A Sun-photometer over the year seasons of 2014. The data was collected at the Council for Scientific and Industrial Research (CSIR), ... Read more
A UAV based system for real-time near-infrared monitoring of small-scale wildfires

Author: Magidimisha, Edwin ; Nana, Muhammad A ; Naidoo, Seelenthren ; Naidoo, Shrikant V ; Faniso-Mnyaka, Zimbini ; Skosana, Vusi J Date: 2023 Wildfires are a global threat that is becoming more severe and widespread due to climate change. These fires not only pose a significant risk to human life, firefighters, and infrastructure, but also endanger forest resources, increase ... Read more
The use of U-Net lite and Extreme Gradient Boost (XGB) for glaucoma detection

Author: Afolabi, OJ ; Mabuza-Hocquet, Gugulethu P ; Nelwamondo, Fulufhelo V ; Paul, BS Date: Mar 2021 Glaucoma has been credited to be the foremost cause of preventable loss of sight in the world second only to cataract. Its effect on the eye is usually irreversible and can only be prevented by early detection. In this paper, we developed a ... Read more
Vector-mode decay in atmospheric turbulence: An analysis inspired by quantum mechanics

Author: Nape, I ; Mashaba, Nikiwe P ; Mphuthi, N ; Jayakumar, S ; Bhattacharya, S ; Forbes, Andrew Date: Mar 2021 Vector beams are inhomogeneously polarized optical fields with nonseparable, quantum-like correlations between their polarization and spatial components, and hold tremendous promise for classical and quantum communication across various ... Read more

Now showing items 1-17 of 17

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