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Julio C. S. Jacques, Soraia Raupp Musse, Cláudio R. Jung • IEEE Signal Processing Magazine
(2010)
This article presents a survey on crowd analysis using computer vision techniques, covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also reports how related the ar...
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Open Access
DOI: https://doi.org/10.1109/msp.2010.937394
Bart M. ter Haar Romeny, Luc M. J. Florack, Jan J. Koenderink, Max A. Viergever • Lecture notes in computer science
(1997)
OPENALEX
DOI: https://doi.org/10.1007/3-540-63167-4
Thomas Baltzer Moeslund, Graham Thomas, Adrian Hilton • Advances in computer vision and pattern recognition
(2014)
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DOI: https://doi.org/10.1007/978-3-319-09396-3
Mads Nielsen, Joachim Weickert, Ole Fogh Olsen, Johansen, Peter • Lecture notes in computer science
(1999)
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DOI: https://doi.org/10.1007/3-540-48236-9
Matthew Turk • Communications of the ACM
(2004)
There are still obstacles to achieving general, robust, high-performance computer vision systems. The last decade, however, has seen significant progress in vision technologies for human-computer interaction....
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DOI: https://doi.org/10.1145/962081.962107
Niall O’Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli et al. • Advances in intelligent systems and computing
(2019)
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Open Access
DOI: https://doi.org/10.1007/978-3-030-17795-9
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu et al. • Computational Visual Media
(2022)
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...
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cc-by
DOI: https://doi.org/10.1007/s41095-022-0271-y
Sato T • Clinical Ophthalmology (Auckland, N.Z.)
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.2147/OPTH.S651914
PMC: PMC13738256
Mehta T, Angulo N, Lu A, Staten-Lusty S et al. • bioRxiv
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.64898/2026.10.23.761437
PMC: PMC13738968
Guerrero-Torres M, Portilla-Suárez A, Ortiz-Prada CA, Jaimes-Parra BD et al. • Journal of Clinical and Experimental Dentistry
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.4317/jced.64612
PMC: PMC13739081
Alpin NE, Jovanoski KD, Ratti PL, Menassa DA et al. • Brain Communications
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1093/braincomms/fcag388
PMC: PMC13739046
dos Santos AM, Dias JAC, DeSouza GN, Figueiredo K et al. • Journal of Medical Virology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/jmv.71205
PMC: PMC13739229
Ipser JC, Carey P, Dhansay Y, Fakier N et al. • The Cochrane database of systematic reviews
(2006)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/14651858.CD005473.pub2
PMC: PMC13738349
Qun Zhao, Nisuo Du, Zhi Ouyang, Ning Kang et al. • IET Image Processing
(2021)
Abstract Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accu...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12292
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Zhiwen Xiong, Yuanchun Li • Scientific Reports
(2026)
Abstract Salient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene. The advent of depth sensing technologies has propelled RGB-D ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-56237-7
Samyakh Tukra, Haozheng Xu, Chi Xu, Stamatia Giannarou • Healthcare Technology Letters
(2024)
Abstract Generalizable and accurate stereo depth estimation is vital for 3D reconstruction, especially in surgery. Supervised learning methods obtain best performance however, limited ground truth data for surgical scenes limits generalizab...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/htl2.12067
Dimitra G. Georgopoulou, Orestis Stavrakidis-Zachou, Orestis Stavrakidis-Zachou, Nikos Mitrizakis et al. • Frontiers in Animal Science
(2021)
Monitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fanim.2021.754520
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931