A comprehensive review of recent advances on deep vision systems
Real-time video objects detection, tracking, and recognition are challenging issues due to
the real-time processing requirements of the machine learning algorithms. In recent years …
the real-time processing requirements of the machine learning algorithms. In recent years …
Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis
Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …
to decrease traffic accidents caused by driver fatigue while driving on the road …
Include: A large scale dataset for indian sign language recognition
Indian Sign Language (ISL) is a complete language with its own grammar, syntax,
vocabulary and several unique linguistic attributes. It is used by over 5 million deaf people in …
vocabulary and several unique linguistic attributes. It is used by over 5 million deaf people in …
Technological solutions for sign language recognition: a sco** review of research trends, challenges, and opportunities
Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …
and are the primary means of communication of the deaf and hard of hearing with their …
Isolated sign language recognition using convolutional neural network hand modelling and hand energy image
This paper presents an isolated sign language recognition system that comprises of two
main phases: hand tracking and hand representation. In the hand tracking phase, an …
main phases: hand tracking and hand representation. In the hand tracking phase, an …
Criminal intention detection at early stages of shoplifting cases by using 3D convolutional neural networks
GA Martínez-Mascorro, JR Abreu-Pederzini… - Computation, 2021 - mdpi.com
Crime generates significant losses, both human and economic. Every year, billions of dollars
are lost due to attacks, crimes, and scams. Surveillance video camera networks generate …
are lost due to attacks, crimes, and scams. Surveillance video camera networks generate …
Soft Computing based object detection and tracking approaches: State-of-the-Art survey
In recent years, analysis and interpretation of video sequences to detect and track objects of
interest had become an active research field in computer vision and image processing …
interest had become an active research field in computer vision and image processing …
Medimlp: using grad-cam to extract crucial variables for lung cancer postoperative complication prediction
Lung cancer postoperative complication prediction (PCP) is significant for decreasing the
perioperative mortality rate after lung cancer surgery. In this paper we concentrate on two …
perioperative mortality rate after lung cancer surgery. In this paper we concentrate on two …
A Hierarchical View Pooling Network for Multichannel Surface Electromyography‐Based Gesture Recognition
Hand gesture recognition based on surface electromyography (sEMG) plays an important
role in the field of biomedical and rehabilitation engineering. Recently, there is a remarkable …
role in the field of biomedical and rehabilitation engineering. Recently, there is a remarkable …
A multi-view human action recognition system in limited data case using multi-stream CNN
In recent years, Convolutional Neural Networks (CNNs) have been extensively used for
human action recognition. However, training a convolutional neural network by limited data …
human action recognition. However, training a convolutional neural network by limited data …