On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
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 …
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 …
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
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 …
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 …
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
The rapid increase in human population has necessitated a corresponding increase in
agricultural production. The advancements made in the arena of genomics and …
agricultural production. The advancements made in the arena of genomics and …
IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities
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 …
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 …
research attentions by computer vision researchers due to its prominent applications in …
Bangla sign digits: A dataset for real time hand gesture recognition
With current widespread computer vision study, research with a particular culture and
aesthetic contexts lead to enhanced performance with improved user experience. Despite a …
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 …
manual stocktaking during stocktaking of stereoscopic warehouse, the image processing …