Dr. Jan Aelterman Profile

Dr. Jan Aelterman

at Univ Gent

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Publications (9)

Proceedings Article | 13 November 2024 Presentation + Paper

Maritime surveillance using unmanned vehicles: deep learning-based vessel re-identification

Yoni Geers, Tim Willems, Cornelia Nita, Tien-Thanh Nguyen, Jan Aelterman

Proceedings Volume 13206, 1320607 (2024) https://doi.org/10.1117/12.3028805

KEYWORDS: Deep learning, Convolutional neural networks, Data fusion, Optical character recognition, Unmanned vehicles, Maritime surveillance, Target recognition

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Maritime surveillance is crucial for ensuring compliance with regulations and protecting critical maritime infrastructure. Conventional tracking systems, such as AIS or LRIT, are susceptible to manipulation as they can be switched off or altered. To address this vulnerability, there is a growing need for a visual monitoring system facilitated by unmanned systems such as unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs). Equipped with sensors and cameras, these unmanned vehicles collect vast amounts of data that often demand time-consuming manual processing. This study presents a robust method for automatic target vessel re-identification from RGB imagery captured by unmanned vehicles. Our approach uniquely combines visual appearance and textual data recognized from the acquired images to enhance the accuracy of target vessel identification and authentication against a known vessel database. We achieve this through utilizing Convolutional Neural Network (CNN) embeddings and Optical Character Recognition (OCR) data, extracted from the vessel’s images. This multi-modal approach surpasses the limitations of methods relying solely on visual or textual information. The proposed prototype was evaluated on two distinct datasets. The first dataset contains small vessels without textual data and serves to test the performance of the fine-tuned CNN model in identifying target vessels, trained with a triplet loss function. The second dataset encompasses medium and large-sized vessels amidst challenging conditions, highlighting the advantage of fusing OCR data with CNN embeddings. The results demonstrate the feasibility of a computer vision model that combines OCR data with CNN embeddings for target vessel identification, resulting in significantly enhanced robustness and classification accuracy. The proposed methodology holds promise for advancing the capabilities of autonomous visual monitoring systems deployed by unmanned vehicles, offering a resilient and effective solution for maritime surveillance.

Proceedings Article | 15 March 2019 Paper

Multi-coil magnetic resonance imaging reconstruction with a Markov random field prior

Marko Panić, Jan Aelterman, Vladimir Crnojević, Aleksandra Pižurica

Proceedings Volume 10949, 109492G (2019) https://doi.org/10.1117/12.2512104

KEYWORDS: Magnetic resonance imaging, Magnetorheological finishing, Reconstruction algorithms, Data acquisition, Image restoration, Algorithm development, Neuroimaging, Brain, Data modeling, Fourier transforms

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Proceedings Article | 11 September 2015 Paper

Shearlet-domain task-driven post-processing and filtering of CT noise

Bart Goossens, Jan Aelterman, Hiêp Luong, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 9597, 95970I (2015) https://doi.org/10.1117/12.2188584

KEYWORDS: Denoising, Image quality, X-ray computed tomography, Computed tomography, Reconstruction algorithms, Image filtering, Wavelets, Interference (communication), Image segmentation, Diagnostics

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Proceedings Article | 26 September 2013 Paper

A split-augmented Lagrangian algorithm for spectral factorization of a set of 2D directional filters and application to the design of compact shearlet frames

Bart Goossens, Jan Aelterman, Hiêp Luong, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 8858, 885806 (2013) https://doi.org/10.1117/12.2024876

KEYWORDS: Wavelets, Optical filters, Discrete wavelet transforms, Image filtering, Wavelet transforms, Fourier transforms, Prototyping, Denoising, Digital filtering, Optimization (mathematics)

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Proceedings Article | 14 February 2013 Paper

Bayesian demosaicing using Gaussian scale mixture priors with local adaptivity in the dual tree complex wavelet packet transform domain

Bart Goossens, Jan Aelterman, Hiep Luong, Aleksandra Pizurica, Wilfried Philips

Proceedings Volume 8657, 865704 (2013) https://doi.org/10.1117/12.2008537

KEYWORDS: Denoising, Wavelets, RGB color model, Phase modulation, Image resolution, Optical filters, Digital cameras, Seaborgium, Sensors, Interference (communication)

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Proceedings Article | 27 September 2011 Paper

On structured sparsity and selected applications in tomographic imaging

Aleksandra Pižurica, Jan Aelterman, F. Bai, Sam Vanloocke, Hiep Quang Luong, Bart Goossens, Wilfried Philips

Proceedings Volume 8138, 81381D (2011) https://doi.org/10.1117/12.893784

KEYWORDS: Tomography, Magnetic resonance imaging, Microwave radiation, Magnetorheological finishing, Computer programming, Electromagnetism, Lamps, Optimization (mathematics), Binary data, Reconstruction algorithms

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Proceedings Article | 27 September 2011 Paper

Efficient multiscale and multidirectional representation of 3D data using the 3D discrete shearlet transform

Bart Goossens, Hiêp Luong, Jan Aelterman, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 8138, 81381Z (2011) https://doi.org/10.1117/12.893808

KEYWORDS: Wavelets, 3D image processing, Berkelium, Matrices, Fourier transforms, Digital filtering, Composites, Wavelet transforms, Stereolithography, Convolution

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Proceedings Article | 27 September 2011 Paper

Design of a tight frame of 2D shearlets based on a fast non-iterative analysis and synthesis algorithm

Bart Goossens, Jan Aelterman, Hiêp Luong, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 8138, 81381Q (2011) https://doi.org/10.1117/12.893752

KEYWORDS: Wavelets, Image filtering, Fourier transforms, Image processing, Denoising, Image restoration, Digital filtering, Discrete wavelet transforms, Matrices, Composites

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Proceedings Article | 28 January 2009 Paper

Locally adaptive complex wavelet-based demosaicing for color filter array images

Jan Aelterman, Bart Goossens, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 7248, 72480J (2009) https://doi.org/10.1117/12.807347

KEYWORDS: Wavelets, Linear filtering, Electronic filtering, Optical filters, Wavelet transforms, Discrete wavelet transforms, Denoising, Phase shifts, Imaging arrays, Visualization

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Showing 5 of 9 publications

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