On the role and the importance of features for background modeling and foreground detection

T Bouwmans, C Silva, C Marghes, MS Zitouni… - Computer Science …, 2018 - Elsevier
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

Distracted driver detection by combining in-vehicle and image data using deep learning

F Omerustaoglu, CO Sakar, G Kar - Applied Soft Computing, 2020 - Elsevier
Distracted driving is among the most important reasons for traffic accidents today. Recently,
there is an increasing interest in building driver assistance systems that detect the actions of …

Background subtraction for moving object detection in RGBD data: A survey

L Maddalena, A Petrosino - Journal of Imaging, 2018 - mdpi.com
The paper provides a specific perspective view on background subtraction for moving object
detection, as a building block for many computer vision applications, being the first relevant …

Moving target detection based on improved Gaussian mixture background subtraction in video images

J Zuo, Z Jia, J Yang, N Kasabov - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, background subtraction techniques have been used in vision and image
applications for moving target detection. However, most methods cannot provide fine results …

[PDF][PDF] Detecting Driver Distraction Using Deep-Learning Approach.

KA Al Shalfan, M Zakariah - Computers, Materials & Continua, 2021 - cdn.techscience.cn
Currently, distracted driving is among the most important causes of traffic accidents.
Consequently, intelligent vehicle driving systems have become increasingly important …

Artificial bee colony-based fuzzy c means (ABC-FCM) segmentation algorithm and dimensionality reduction for leaf disease detection in bioinformatics

SK Pravin Kumar, MG Sumithra, N Saranya - The Journal of …, 2019 - Springer
The rapid increase in human population has necessitated a corresponding increase in
agricultural production. The advancements made in the arena of genomics and …

IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities

CC Chan, SA Alvi, X Zhou, S Durrani, N Wilson… - arXiv preprint arXiv …, 2023 - arxiv.org
The threat posed by wildfires or bushfires has become a severe global issue due to the
increase in human activities in forested areas and the impact of climate change …

Human activity recognition using segmented body part and body joint features with hidden Markov models

MZ Uddin - Multimedia Tools and Applications, 2017 - Springer
In recent years, human activity recognition from video has been getting considerable
research attentions by computer vision researchers due to its prominent applications in …

Bangla sign digits: A dataset for real time hand gesture recognition

D Tasmere, B Ahmed, MM Hasan - 2020 11th International …, 2020 - ieeexplore.ieee.org
With current widespread computer vision study, research with a particular culture and
aesthetic contexts lead to enhanced performance with improved user experience. Despite a …

A stereoscopic warehouse stocktaking method based on machine vision

T Peisheng, D Ronggui, Z Yubin - Journal of Physics: Conference …, 2020 - iopscience.iop.org
In order to solve the problem of high security risk, low efficiency and low accuracy of the
manual stocktaking during stocktaking of stereoscopic warehouse, the image processing …