Home »
Academic Articles & Research Papers
Showing 20 of 1,156 academic articles
Asim Niaz, Sareer Ul Amin, Shafiullah Soomro, Hamza Zia et al. • IEEE Access
(2024)
Surveillance videos are crucial for crime prevention and public safety, yet the challenge of defining abnormal events hinders their effectiveness, limiting the applicability of supervised methods. This paper introduces an unsupervised end-t...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3435144
Vijeta Sharma, Manjari Gupta, Ajai Kumar, Deepti Mishra • IEEE Access
(2021)
Studies show lots of advanced research on various data types such as image, speech, and text using deep learning techniques, but nowadays, research on video processing is also an emerging field of computer vision. Several surveys are presen...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3118541
Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang et al. • IEEE Access
(2021)
Recent years have witnessed rapid developments on computer vision, however, there are still challenges in detecting tiny objects in a large-scale background. The tiny objects knowledge become sparse and weak due to their tiny size, which ma...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3074790
Giuseppe Silano, Luigi Iannelli • IEEE Access
(2021)
The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3064758
Longpeng Bian, Chang Che • IEEE Access
(2023)
With the widespread application of computer vision in many fields, quickly and accurately obtaining the three-dimensional information covered by the target object has become a concern in the field of vision research. Large scale multi view ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3327310
James R. Parker (1993)
From the Publisher:
A straightforward, practical examination of the fundamentals of computer vision using a minimum of mathematics. Concentrates on explanation, illustration, implementation and the various types of vision imaging problems ...
OPENALEX
Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao • IEEE Access
(2025)
Model size and inference speed have brought about major challenges for the deployment of Convolutional Neural Networks (CNNs) in many applications. An effective approach to address this issue is model quantization, which achieves network co...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3551802
Sabera Hoque, Md. Yasir Arafat, Shuxiang Xu, Ananda Maiti et al. • IEEE Access
(2021)
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of freedom) pose assumptions are widely discussed and studied in the field. In the 3D object detection process, classifications are centered on the object’...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3114399
Zeeshan Javed, Gon-Woo Kim • IEEE Access
(2022)
With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3204870
Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access
(2020)
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3039858
Nianyi Wang, Weilan Wang, Wenjin Hu • IEEE Access
(2021)
Thangka murals are precious cultural heritage for Tibetan history, literature, and art. Digital line drawing of Thangka murals plays a vital role not only as an abstracted expression of Thangka for art appreciation but also as a fundamental...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3068199
Kota Suzuki, Abu Saleh Musa Miah, Jungpil Shin • Sensors
(2025)
Eye-tracking technology enables communication for individuals with muscle control difficulties, making it a valuable assistive tool. Traditional systems rely on electrooculography (EOG) or infrared devices, which are accurate but costly and...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206325
Renzo Fernández, Néstor Zamora, Victor Coloma, Nino Vega et al. • Technologies
(2026)
The use of prosthetic devices can significantly improve the quality of life of individuals with limb amputations. However, existing prosthetic hands face multiple engineering and manufacturing challenges, making them economically inaccessib...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/technologies14060334
Vijay Kakani, Van Huan Nguyen, Basivi Praveen Kumar, Hakil Kim et al. • Journal of Agriculture and Food Research
(2020)
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This phenom...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jafr.2020.100033
Bayram B., Leventi N., Vodenicharova A., Lamprianidou A. et al. • Acta Medica Bulgarica
(2026)
Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, an...
DOAJ
Open Access (DOAJ)
DOI: 10.2478/amb-2026-0050
Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access
(2023)
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3298706
Yejin Jung, Sunwoo Cho, Haeyoon Yang, Nam Ik Cho • IEEE Access
(2025)
Semantic segmentation assigns class labels at the pixel level, forming a key part of various computer vision applications, including autonomous driving, medical imaging, and robotics. However, segmentation accuracy often drops significantly...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641590
Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution
(2023)
Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...
DOAJ
Open Access (DOAJ)
DOI: 10.1111/2041-210X.14115
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan • IEEE Access
(2019)
Recognition of 3D shapes is a fundamental task in computer vision. In recent years, view-based deep learning has emerged as an effective approach for 3D shape recognition. Most existing view-based methods treat the views of an object as an ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2934650