Article
Computer Science, Information Systems
Jaroslaw Nowisz, Michal Kopania, Artur Przelaskowski
Summary: This paper proposes a fast flicker removal algorithm that works as an online filter on frame streams exceeding 200 frames per second. The algorithm is adaptive and performs well even when lighting conditions change, showing high effectiveness in tracking objects of interest.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Zhaohua Yang, Wang Li, Zhengyan Song, Wen-Kai Yu, Ling-An Wu
Summary: Computational ghost imaging captures images through the correlation between illumination patterns and object signals. A tracking compensation method has been proposed to eliminate motion blur, providing high quality reconstruction for moving objects. This method shows potential for various applications such as object tracking, remote sensing, and real-time imaging, outperforming conventional CGI.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Adrien Maglo, Astrid Orcesi, Julien Denize, Quoc Cuong Pham
Summary: This article introduces a framework for extracting individual soccer player positions from broadcast-like videos. The framework utilizes an encoder-decoder architecture and a multiple person tracker to estimate player positions. Experimental results show that the method outperforms previous works and achieved first place in the SoccerNet tracking challenge.
Article
Engineering, Electrical & Electronic
Florian Meyer, Jason L. Williams
Summary: The paper proposes a factor graph formulation and a particle-based algorithm for scalable detection and tracking of extended objects, providing an effective solution for multiobject tracking. The method dynamically introduces states of newly detected objects and jointly infers the geometric shapes of objects, enabling scalable extended object tracking.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Optics
Yu Zhang, Hongjie Wang, Yongkai Yin, Wenjie Jiang, Baoqing Sun
Summary: In this paper, a scheme for tracking and imaging high-speed moving objects is introduced. It utilizes chrome plated masks combined with single pixel detectors to achieve real-time tracking and imaging. By using the principle of geometric moments, the motion trajectory is obtained and the image of the object is reconstructed. Multiple optical paths and a dedicated calibration approach are used to improve tracking accuracy, and using static masks instead of spatial light modulators improves speed and reduces cost.
Article
Environmental Sciences
Jiaxing Zhang, Wen Xiao, Jon P. Mills
Summary: This paper introduces a Joint Detection And Tracking (JDAT) scheme that improves the accuracy and continuity of road user trajectories by running detection and tracking in parallel.
Article
Geochemistry & Geophysics
Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo
Summary: This article focuses on moving object detection and tracking in satellite videos. A large-scale satellite video dataset is built, and a motion modeling baseline is introduced to improve detection rate and reduce false alarms. The study establishes the first public benchmark and evaluates the performance of several representative approaches on the dataset.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Robotics
Wen Yang, Zheng Gong, Baifu Huang, Xiaoping Hong
Summary: This paper proposes a lidar and camera fusion approach to correct distortion in oscillating lidars, and utilizes a probabilistic Kalman-filter approach to track moving objects. The method outperforms other approaches on real road data and has been open sourced.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Multidisciplinary Sciences
J. Farley Norman, Maheen Baig, Jiali D. Graham, Jessica L. Lewis
Summary: Grouping by common fate plays an important role in how human observers perceive environmental objects. This study found that younger adults outperformed older adults in utilizing common fate to perceive objects. It was also observed that age systematically affects the ability of older adults to detect and visually perceive objects defined by common fate.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Taiwen Tang, Chen Wu, Janaka Elangage
Summary: This paper presents a high-performance antenna array system model for tracking moving objects using FMCW, integrating antenna array and EM wave multi-skin-return modeling with algorithm and measurement/tracking system architecture. A novel FMCW signal processing scheme combines time- and frequency-domain methods for accurate detection of moving-target-skin-return in stationary objects. The proposed technique shows promise for tracking long range and high-speed objects, with significantly reduced FFT requirements compared to previous designs.
Article
Environmental Sciences
Vladan Stojnic, Vladimir Risojevic, Mario Mustra, Vedran Jovanovic, Janja Filipi, Nikola Kezic, Zdenka Babic
Summary: Detection of small moving objects is a challenging task due to lack of distinctive shape and textural details. The proposed method combines classical computer vision techniques and CNNs, as well as synthetic training sets, to achieve an average F1-score of 0.86 in tests on real-world videos.
Article
Computer Science, Information Systems
Veena Chidurala, Xinrong Li
Summary: This paper presents an in-depth investigation of a low-resolution thermal imaging sensor (Melexis MLX90640) and proposes algorithm design solutions for detecting moving objects. Experimental measurements and analysis are conducted to demonstrate issues and propose a subpage bilinear interpolation method and an enhanced sensor data preprocessing method for occupancy estimation.
INTERNET OF THINGS
(2022)
Article
Optics
U. Gasser, B. Zhou
Summary: This article introduces a new heuristic method for the reliable detection of spherical particles in order to address complex backgrounds, which suppresses false detections due to heterogenous backgrounds.
Article
Engineering, Electrical & Electronic
Bo Liu, Hongyu Wu
Summary: Moving target defense (MTD) is a promising defense strategy in the power system to detect false data injection (FDI) attacks, with hidden MTD (HMTD) being a superior method. This paper addresses the challenges of optimal planning and operation of D-FACTS devices for MTD effectiveness, proposing novel methods and algorithms for D-FACTS placement and operation models. Experimental results on IEEE 14-bus and IEEE 57-bus systems demonstrate the effectiveness of the proposed approaches.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Mechanical
Nada Ali Hakami, Hanan Ahmed Hosni Mahmoud, Abeer Abdulaziz AlArfaj
Summary: Localization of suspicious moving objects in dynamic environments requires high accuracy mapping. A deep learning model is proposed to track crossing moving objects in the opposite direction. The model combines deep learning methods and a tracking system to reject dynamic areas and improve localization precision. Experimental results demonstrate that the model outperforms state-of-the-art models and tracking systems in terms of performance and speed.
Article
Optics
Hanning Mai, Anneliese Jarman, Ahmet T. Erdogan, Conor Treacy, Neil Finlayson, Robert K. Henderson, Simon P. Poland
Summary: We developed a novel line-scanning microscope capable of high-speed TCSPC-based FLIM imaging. The system includes a laser line focus optically connected to a 1024 x 8 SPAD-based line-imaging CMOS with high acquisition rates. The high-speed FLIM platform demonstrated imaging capability in various biological applications.
Article
Multidisciplinary Sciences
Stirling Scholes, German Mora-Martin, Feng Zhu, Istvan Gyongy, Phil Soan, Jonathan Leach
Summary: Single-Photon Avalanche Detector (SPAD) arrays are cutting-edge technology that can rapidly generate depth images with millimeter precision. They are crucial for autonomous systems as they provide guidance and situational awareness. This study establishes a numerical procedure to determine the depth imaging limits of SPAD arrays under real-world conditions, allowing for accurate and cost-effective performance evaluation without field testing. This procedure has applications in object detection, tracking, and imaging systems for various scenarios.
SCIENTIFIC REPORTS
(2023)
Article
Optics
Stirling Scholes, Lehloa Mohapi, Jonathan Leach, Andrew Forbes, Angela Dudley
Summary: In this study, a Liquid Crystal on Silicon Spatial Light Modulator (LCoS-SLM) is used to imitate the mechanical design of a deformable mirror, and the effect of the number of mirror segments and their geometrical structure on resulting structured modes is quantitatively analysed. This approach can serve as a test bed prior to designing a deformable mirror for high power beam shaping.
APPLIED PHYSICS B-LASERS AND OPTICS
(2023)
Article
Optics
Mohamed Amir Alaa Belmekki, Jonathan Leach, Rachael Tobin, Gerald S. Buller, Stephen McLaughlin, Abderrahim Halimi
Summary: 3D single-photon LiDAR imaging is crucial for many applications, but requires analysis of low signal-to-noise ratio returns and high data volume. This paper proposes a multiscale approach for 3D surface detection, reducing data volume while obtaining background-free surfaces for depth and reflectivity inference. A hierarchical Bayesian model is also introduced for 3D reconstruction and spectral classification. Results demonstrate the superiority of these approaches compared to state-of-the-art algorithms.
Article
Optics
Aurora Maccarone, Kristofer Rummond, Aongus Mccarthy, Ulrich K. S. Teinlehner, Julian Achella, Diego A. Guirre G. Arcia, Agata Pawlikowska, Robert A. Lamb, Robert K. Henderson, Stephen Mclaughlin, Yoann Altmann, Gerald S. Buller
Summary: We developed a fully submerged underwater LiDAR transceiver system using single-photon detection technologies. The system utilized a silicon single-photon avalanche diode (SPAD) detector array and picosecond resolution time-correlated single-photon counting for photon time-of-flight measurement. Real-time three-dimensional imaging was achieved through a joint surface detection and distance estimation algorithm. The system demonstrated high-resolution imaging of stationary and moving targets at depths of 1.8 meters and stand-off distances of up to 5.5 attenuation lengths.
Article
Physics, Multidisciplinary
Suraj Goel, Max Tyler, Feng Zhu, Saroch Leedumrongwatthanakun, Mehul Malik, Jonathan Leach
Summary: Efficient manipulation, sorting, and measurement of optical modes and single-photon states are achieved in this study. The researchers use a specially designed multiplane light converter to simultaneously and efficiently sort nonorthogonal, overlapping states of light encoded in the transverse spatial degree of freedom. This has implications for optimal image identification and classification in optical networks.
PHYSICAL REVIEW LETTERS
(2023)
Article
Chemistry, Analytical
Gyles E. Cozier, Rachael C. Andrews, Anca Frinculescu, Ranjeet Kumar, Benedict May, Tom Tooth, Peter Collins, Andrew Costello, Tom S. F. Haines, Tom P. Freeman, Ian S. Blagbrough, Jennifer Scott, Trevor Shine, Oliver B. Sutcliffe, Stephen M. Husbands, Jonathan Leach, Richard W. Bowman, Christopher R. Pudney
Summary: Synthetic cannabinoids (SCs) are a class of new psychoactive substances (NPS) primarily used in prisons and homeless communities in the U.K. SCs have severe side effects and are associated with numerous deaths. The detection of SCs is challenging due to their chemical diversity and their adsorption onto physical matrices. This study presents a portable and rapid generic test for SCs using fluorescence analysis.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Filip Taneski, Istvan Gyongy, Tarek Al Abbas, Robert K. Henderson
Summary: This paper introduces a guided dToF approach for self-driving vehicles, which utilizes external guidance from other onboard sensors to provide an efficient solid-state lidar solution. It reduces data processing and storage requirements while mitigating multipath reflections.
Review
Optics
Robert h. Hadfield, Jonathan Leach, Fiona Fleming, Douglas j. Paul, Chee hing Tan, Jo shien Ng, Robert k. Henderson, Gerald s. Buller
Summary: The development of single-photon detectors with picosecond timing resolution has driven progress in time-correlated single-photon counting applications, including quantum optics, life sciences, and remote sensing. Advanced optoelectronic device architectures offer high-performance single-pixel devices and the ability to scale up to detector arrays, increasing single-photon sensitivity.
Article
Optics
German Mora-Martin, Stirling Scholes, Lice Ruget, Robert Henderson, Jonathan Leach, Istvan Gyongy
Summary: In this paper, a 3D convolutional neural network (CNN) is trained using synthetic depth sequences to denoise and upscale (x4) depth data. Experimental results using synthetic and real ToF data demonstrate the effectiveness of the approach. With GPU acceleration, the approach achieves processing speeds of >30 frames per second, making it suitable for low-latency imaging.
Article
Quantum Science & Technology
Chane Moodley, Alice Ruget, Jonathan Leach, Andrew Forbes
Summary: In order to improve image acquisition speed, researchers implemented four machine learning algorithms and trained them on a dataset with noise and blur. The results showed that logistic regression algorithm achieved a 10x speed up in image acquisition time with a prediction accuracy of 99%. This method does not require image denoising or enhancement prior to recognition, reducing training and implementation time, as well as computational intensity, making it suitable for real-time quantum imaging and recognition of light sensitive structures.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Jonathan J. D. McKendry, Enyuan Xie, Jordan Hill, Hichem Zimi, Johannes Herrnsdorf, Erdan Gu, Robert K. Henderson, Martin D. Dawson
Summary: This article reports a deep ultraviolet AlGaN micro-LED array driven by electronic drivers implemented in CMOS technology. The integrated device allows independent control of each micro-LED and has potential applications in various fields.
IEEE PHOTONICS JOURNAL
(2023)
Article
Optics
Imogen Morland, Hanna Ostapenko, Feng Zhu, Derryck T. Reid, Jonathan Leach
Summary: In this study, correlated photon pairs were generated at 790nm wavelength using a compact GHz-rate cavity laser. The indistinguishability of the photons produced by SPDC was verified using Hong-Ou-Mandel interferometry, and a dip in coincidence counts with a visibility of 81.8% was observed.
