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Faster R-CNN and Geometric Transformation-Based Detection of Driver's Eyes Using Multiple Near-Infrared Camera Sensors
2019
Sensors
However, this method has the drawback of an excessive computation process and processing time, as it involves detecting the eyes and extracting the features of all images obtained from multiple cameras ...
select camera images more suitable for detecting eye position; faster R-CNN is applied to the selected driver images, and after the driver's eyes are detected, the eye positions of the camera image of ...
As shown in Table 8 , based on the proposed method, open and closed eyes were detected with an accuracy of at least 0.99. ...
doi:10.3390/s19010197
fatcat:5a6jinc7vne5xfxszjqwwdgcyy
Coordinate Logic Order Statistics filters and FPGA Implementation for Real - Time Image Processing
2016
Journal of Engineering Science and Technology Review
CLOS functioning applies a bit level process rather than a decimal level process and may be considered as a bottom up procedure where the whole filter design is based on logic functions instead of arithmetic ...
Coordinate Logic Order Statistics (CLOS) constitutes a new revolutionary and radical approach for real time video/image/signal processing. ...
This paper was presented at Pan-Hellenic Conference on Electronics and Telecommunications -PACET, that took place May 8-9 2015, at Ioannina Greece. ...
doi:10.25103/jestr.096.24
fatcat:t2kgoi6jxjfuzpht5txizjk234
Smart Internet of Vehicles Architecture based on Deep Learning for Occlusion Detection
2021
International Journal of Advanced Computer Science and Applications
An occlusion detection application based on a deep learning technique is performed to evaluate the IoV architecture. ...
In our days, the cyber world is developing due to the revolution of smart cities and machine learning technologies. The internet of Things constitutes the essential background of cyber technology. ...
In this layer, data are conducted based on types. The data are verified according to the redundancy, quality, and relevancy at the data processing layer. ...
doi:10.14569/ijacsa.2021.0120328
fatcat:h3dvnubub5dm3gelfkydn37ibe
Smart Attendance System using OPENCV based on Facial Recognition
2020
International Journal of Engineering Research and
This model integrates a camera that captures an input image, an algorithm for detecting face from an input image, encoding and identifying the face, marking the attendance in a spreadsheet and converting ...
However, these traditional techniques are time consuming and tedious. In this project, the Open CV based face recognition approach has been proposed. ...
IMAGE PROCESSING The facial recognition process can be split into two major stages: processing which occurs before detection involving face detection and alignment and later recognition is done using feature ...
doi:10.17577/ijertv9is030122
fatcat:4tzrsxed35bqdk4bxld5kh5pkq
Driver fatigue detection based on eye state
2015
Technology and Health Care
METHODS: The overall workflow solutions included face detection and tracking, detection and location of the human eye, human eye tracking, eye state recognition, and driver fatigue testing. ...
OBJECTIVE: In order to reduce and prevent it, in this study, a calculation method using PERCLOS (percentage of eye closure time) parameter characteristics based on machine vision was developed. ...
The face tracking [3] used the prediction combination based on the Camshift and Kalman methods. ...
doi:10.3233/thc-150982
pmid:26410512
fatcat:l6csakksnzcmpijjmpxwr5dfmi
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
2021
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Based on this dataset and Protocol 3 which evaluates both the discrimination and generalization ability of the algorithm under the open set scenarios, we organized a 3D High-Fidelity Mask Face Presentation ...
Attack Detection Challenge to boost the research of 3D mask-based attack detection. ...
For data pre-processing, they adopt their own face detection model to perform face detection and take patches of the face as input. ...
doi:10.1109/iccvw54120.2021.00096
fatcat:qrqura7d3ffdbgxjwws7rqxu7u
3D representation and CNC machining of 2D digital images
2018
Procedia Manufacturing
Under the concept of "Industry 4.0", production processes will be pushed to be increasingly interconnected, information based on a real time basis and, necessarily, much more efficient. ...
This paper presents and discusses a mathematical model for capacity management based on different costing models (ABC and TDABC). ...
Acknowledgments The authors acknowledge the indispensable help and resources provided by the State Initiated Design Centre, Thapar Institute of Engineering and Technology, India for compilation of this ...
doi:10.1016/j.promfg.2018.07.001
fatcat:duivqws2pvdo7fmgb7iob4an4i
System Architecture for Real-Time Face Detection on Analog Video Camera
2015
International Journal of Distributed Sensor Networks
For verification of the actual face detection on analog cameras, we designed an emulation platform using a low-cost Spartan-3 FPGA and then experimented the proposed architecture. ...
The proposed architecture is based on AdaBoost learning algorithm with Haar-like features and it aims to apply face detection to a low-cost FPGA that can be applied to a legacy analog video camera as a ...
Then the ARM processor calculates the position and the size of candidate faces and marks the face region on the frame image based on the transferred detection results. ...
doi:10.1155/2015/251386
fatcat:k2aw5zvzbjfangulcj3eehaajm
Multi-Task Cascaded Convolutional Networks based Intelligent Fruit Detection for Designing Automated Robot
2019
IEEE Access
based on image fusion to improve the detector performance. ...
Effective and efficient fruit detection is considered crucial for designing automated robot (AuRo) for yield estimation, disease control, harvesting, sorting, and grading. ...
She also studies image/video processing techniques, including enhancement and denoising. ...
doi:10.1109/access.2019.2899940
fatcat:rdcdxo2yf5ecfav5tfblls7lyi
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
[article]
2021
arXiv
pre-print
Based on this dataset and Protocol 3 which evaluates both the discrimination and generalization ability of the algorithm under the open set scenarios, we organized a 3D High-Fidelity Mask Face Presentation ...
Attack Detection Challenge to boost the research of 3D mask-based attack detection. ...
Raw images are firstly processed by detecting face and alignment. ...
arXiv:2108.06968v1
fatcat:3m3u4m5orrfn5ovzadni65brbm
Empowering cyberphysical systems of systems with intelligence
[article]
2021
arXiv
pre-print
They comprise of various, autonomous, CPSs, each one of them having unique performance capabilities, criticality level, priorities and pursued goals. all CPSs must also harmonically pursue system-based ...
achievements and collaborate in order to make system-of-system based decisions and implement the CPSoS functionality. ...
http://iris.di.ubi.pt/ubiris2.html
The UBIRIS.v2: A Database of Visible
Wavelength Iris Images Captured On-the-
Move and At-a-Distance [126]
OpenEDS
Open Eye Dataset (OpenEDS) consists of
images ...
arXiv:2107.02264v1
fatcat:vmxjerpcpvagdmvb5apodvcdhm
Image Recognition Using MATLAB Simulink Blockset
2017
International Journal of Computer Science Engineering and Applications
The tool employed for computation and simulation is the Matlab image processing blockset. The process comprises morphological operation method which is effective for captured images and video. ...
Furthermore, the simulation explores image recognition from the coloured and gray-scale images through image processing techniques in Simulink environment. ...
A broader perspective has been adopted by [5] who argues that segmentation algorithms based on one of two basic properties partition an image based on abrupt change in intensity and regions that are ...
doi:10.5121/ijcsea.2017.7201
fatcat:cvs75ly2jjf6fd3o5ykjfd6dbi
Hybrid Transfer Learning and Broad Learning System for Wearing Mask Detection In the COVID-19 Era
2021
IEEE Transactions on Instrumentation and Measurement
The first stage is designed to detect candidate wearing mask regions as many as possible, which is based on the transfer model of Faster_RCNN and InceptionV2 structure, while the second stage is designed ...
Moreover, this article proposes a data set for wearing mask detection (WMD) that includes 7804 realistic images. ...
The mask detection method is based on three libraries in OpenCV: frontal face, mouth, and nose classifiers. It detects face first and then verifies it using the characteristic of mouth and nose. ...
doi:10.1109/tim.2021.3069844
fatcat:5maol2tg4zh7dp2uvysfhyxk6u
RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment
[article]
2018
arXiv
pre-print
We propose a novel method for real-time face alignment in videos based on a recurrent encoder-decoder network model. ...
Our proposed model predicts 2D facial point heat maps regularized by both detection and regression loss, while uniquely exploiting recurrent learning at both spatial and temporal dimensions. ...
We first introduce two variant designs of f enc/dec , based on which f sr n , f tr n , and f cls are designed accordingly. , and layer configuration (Bottom). ...
arXiv:1801.06066v1
fatcat:uux6xhtnp5hbdgcbuzzwyvpjja
SFA: Small Faces Attention Face Detector
2019
IEEE Access
Our method achieves promising detection performance on challenging face detection benchmarks, including WIDER FACE and FDDB datasets, with competitive runtime speed. ...
Comprehensive experiments show that SFA significantly improves face detection performance, especially on small faces. ...
Her research specializes in image processing and deep learning. ...
doi:10.1109/access.2019.2955757
fatcat:twhjxwe7r5cbdlymwof3lpsmiu
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