A comprehensive review of recent advances on deep vision systems

Q Abbas, MEA Ibrahim, MA Jaffar - Artificial Intelligence Review, 2019 - Springer
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 …

Include: A large scale dataset for indian sign language recognition

A Sridhar, RG Ganesan, P Kumar… - Proceedings of the 28th …, 2020 - dl.acm.org
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 …

Technological solutions for sign language recognition: a sco** review of research trends, challenges, and opportunities

B Joksimoski, E Zdravevski, P Lameski, IM Pires… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Isolated sign language recognition using convolutional neural network hand modelling and hand energy image

KM Lim, AWC Tan, CP Lee, SC Tan - Multimedia Tools and Applications, 2019 - Springer
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 …

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 …

Soft Computing based object detection and tracking approaches: State-of-the-Art survey

M Kaushal, BS Khehra, A Sharma - Applied Soft Computing, 2018 - Elsevier
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 …

Medimlp: using grad-cam to extract crucial variables for lung cancer postoperative complication prediction

T He, J Guo, N Chen, X Xu, Z Wang… - IEEE journal of …, 2019 - ieeexplore.ieee.org
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 …

A Hierarchical View Pooling Network for Multichannel Surface Electromyography‐Based Gesture Recognition

W Wei, H Hong, X Wu - Computational intelligence and …, 2021 - Wiley Online Library
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 …

A multi-view human action recognition system in limited data case using multi-stream CNN

VA Chenarlogh, F Razzazi… - 2019 5th Iranian …, 2019 - ieeexplore.ieee.org
In recent years, Convolutional Neural Networks (CNNs) have been extensively used for
human action recognition. However, training a convolutional neural network by limited data …