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Faster R-CNN and Geometric Transformation-Based Detection of Driver's Eyes Using Multiple Near-Infrared Camera Sensors

Sung Ho Park, Hyo Sik Yoon, Kang Ryoung Park
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

K. D. Tsirikolias, DAEDALU S Informatics, R&D department, E. D. Kyriakis – Bitzaros, TEI of Piraeus, Dept. of Electronics
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

Shaya A. Alshaya
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

Sudhir Bussa, Ananya Mani, Shruti Bharuka, Sakshi Kaushik, Bharati Vidyapeeth (Deemed to be) University, College of Engineering, Pune
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

Lizong Lin, Chao Huang, Xiaopeng Ni, Jiawen Wang, Hao Zhang, Xiao Li, Zhiqin Qian, Edward J. Ciaccio
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

Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo
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

Sumit Sood, Ravinder Kumar Duvedi, Sanjeev Bedi, Stephen Mann
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

Mooseop Kim, Deokgyu Lee, Ki-Young Kim
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

Li Zhang, Guan Gui, Abdul Mateen Khattak, Minjuan Wang, Wanlin Gao, Jingdun Jia
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]

Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo
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]

Stavros Nousias, Nikos Piperigkos, Gerasimos Arvanitis, Apostolos Fournaris, Aris S. Lalos, Konstantinos Moustakas
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.  ... 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

Sagir Lawan, CL Wamdeo
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

Bingshu Wang, Yong Zhao, C. L. Philip Chen
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]

Xi Peng, Rogerio S. Feris, Xiaoyu Wang, Dimitris N. Metaxas
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

Shi Luo, Xiongfei Li, Rui Zhu, Xiaoli Zhang
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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