2D-human face recognition using SIFT and SURF descriptors of face's feature regions
Face recognition is the process of identifying people through facial images. It has become
vital for security and surveillance applications and required everywhere including …
vital for security and surveillance applications and required everywhere including …
Environment sound classification using a two-stream CNN based on decision-level fusion
With the popularity of using deep learning-based models in various categorization problems
and their proven robustness compared to conventional methods, a growing number of …
and their proven robustness compared to conventional methods, a growing number of …
Facial expression recognition of instructor using deep features and extreme learning machine
Classroom communication involves teacher's behavior and student's responses. Extensive
research has been done on the analysis of student's facial expressions, but the impact of …
research has been done on the analysis of student's facial expressions, but the impact of …
Small-object detection based on yolo and dense block via image super-resolution
ZZ Wang, K **e, XY Zhang, HQ Chen, C Wen… - IEEE Access, 2021 - ieeexplore.ieee.org
Small-object detection is a basic and challenging problem in computer vision tasks. It is
widely used in pedestrian detection, traffic sign detection, and other fields. This paper …
widely used in pedestrian detection, traffic sign detection, and other fields. This paper …
Ensemble of deep convolutional neural networks with Gabor face representations for face recognition
JY Choi, B Lee - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Most DCNN-based FR approaches typically employ grayscale or RGB color images as input
representations of DCNN architectures. However, other effective face representation …
representations of DCNN architectures. However, other effective face representation …
Novel face mask detection technique using machine learning to control COVID'19 pandemic
The COVID-19 pandemic has been scattering speedily around the world since 2019. Due to
this pandemic, human life is becoming increasingly involutes and complex. Many people …
this pandemic, human life is becoming increasingly involutes and complex. Many people …
Intelligent recognition of fatigue and sleepiness based on inceptionV3-LSTM via multi-feature fusion
Y Zhao, K **e, Z Zou, JB He - Ieee Access, 2020 - ieeexplore.ieee.org
Fatigue is a common state of mankind characterized by a reduction in the level of
consciousness and alertness. Therefore, the recognition of fatigue and sleepiness has …
consciousness and alertness. Therefore, the recognition of fatigue and sleepiness has …
Design of a face recognition system based on convolutional neural network (CNN)
Y Said, M Barr, HE Ahmed - Engineering, Technology & Applied Science …, 2020 - etasr.com
Face recognition is an important function of video surveillance systems, enabling verification
and identification of people who appear in a scene often captured by a distributed network of …
and identification of people who appear in a scene often captured by a distributed network of …
Face recognition using the SR-CNN model
YX Yang, C Wen, K **e, FQ Wen, GQ Sheng, XG Tang - Sensors, 2018 - mdpi.com
In order to solve the problem of face recognition in complex environments being vulnerable
to illumination change, object rotation, occlusion, and so on, which leads to the imprecision …
to illumination change, object rotation, occlusion, and so on, which leads to the imprecision …
[PDF][PDF] Real-time face detection in digital video-based on Viola-Jones supported by convolutional neural networks
Face detection is a critical function of security (secure witness face in the video) who appear
in a scene and are frequently captured by the camera. Recognition of people from their …
in a scene and are frequently captured by the camera. Recognition of people from their …