Multi-angle Head Pose Classification when Wearing the Mask for Face Recognition under the COVID-19 Coronavirus Epidemic

Li, Shuang; Ning, Xin; Yu, Lina; Zhang, Liping; Dong, Xianlin; Shi, Yuan; He, Wei

doi:10.1109/hpbdis49115.2020.9130585

Cited by 54 publications

(33 citation statements)

References 20 publications

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“…Misra M et al [46] developed a model for early detection of COVID-19 using a pulmonary X-ray image dataset available for public use. Image data of people wearing masks are used to detect the compliance of personal prevention [66]. Sun et al [76] develop a model for exposing people's mental health using audio and video data.…”

Section: Postgresqlmentioning

confidence: 99%

A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques

Riswantini

Nugraheni

Munandar

et al. 2021

Preprint

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COVID-19 has induced many problems in various sectors of life for humanity around the world. After one year of pandemic, many studies have been carried out in exposing various technology innovations and applications to combat the coronavirus that has killed more people than most. The pandemic has accelerated the use of Big Data technology to mitigate the threats of COVID-19. This survey aims to explore the Big Data research for COVID-19. We collected and analyzed the relevant academic articles to identify how Big Data technology can cover the challenges faced in overcoming the pandemic. In determining the research areas addressed by the past studies, we highlight the technology contributions to five major areas of healthcare, social life, government policy, business and management, and the environment. We discuss how analytical techniques of machine learning, deep learning, statistics, and mathematics can solve pandemic issues. The Big Data research for COVID-19 used a wide variety of data sources available publicly or privately. At the end of the discussion, we present the data source used in the past studies encompassing government official data, institutional service data, IoT generated data, online media data, and open data. We hope that this survey will clarify the role of Big Data technology in enhancing the research for COVID-19.

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Section: Postgresqlmentioning

confidence: 99%

A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques

Riswantini

Nugraheni

Munandar

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Further, as per the agents which can block the binding of viral S-protein with ACE2 can also be developed in near future for effective treatment of COVID-19 39 . Researchers are also working on a novel approach which involve the use of recombinant human soluble ACE2 which competes with endogenous ACE2 protein and neutralize SARS-CoV-2 upon binding 37,40 .…”

Section: Remedies For Covid-19mentioning

confidence: 99%

“…Also, video surveillance, drones or Unmanned Aerial Vehicles (UAVs) for virus infected people in crowded places can be employed 81 . This could be coupled with face recognition and image processing 39 . Such approach would alert people who were previously quarantined.…”

Section: Digital and Technological Tracking System Of Infectionmentioning

confidence: 99%

COVID-19: Understanding the Pandemic Emergence, Impact and Infection Prevalence Worldwide

Dey¹,

Vaijayanthimala²,

Dalvi³

et al. 2020

J Pure Appl Microbiol

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Coronavirus disease (COVID-19) has showed high transmission across the continents due to Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) with total infected cases of around ~ 44 million people. This communicable virus that initiated from the Wuhan city of China in the month of December 2020 has now spread to 189 different countries with 1.1 million fatalities worldwide (till 28 Oct, 2020). The World Health Organization (WHO) declared this outbreak as Public Health Emergency of International Concern in January, 2020. The infection spreads mainly due to contact with infected droplets or fomites, highlighting flu like symptoms initially, which may further progress into severe pneumonia and respiratory failure, often observed in elderly patients with prehistory of other diseases. The diagnosis is based on detection of viral antigen, human antibody and viral gene (RT-PCR). Further, various other diagnostic tools including X-ray, CT-scan are used for imaging purpose, recently artificial intelligence based imaging (contactless scanning) gained popularity. Generally testing of existing drugs (repurposing) and development of new molecules are the main strategies adopted by researchers. However, as per initial findings, various drugs, monoclonal antibody and plasma therapy were found to show effectiveness against COVID-19. Further, many vaccine candidates have entered or will soon enter phase III clinical testing. This disease has further challenged the global economy. Thus, this review uniquely compares the strategies adopted by developed and developing countries worldwide including protective measures like lockdown, continuous testing, utilizing latest tools (artificial intelligence) in curbing this infection spread.

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“…The objects of different colors are distinguished better in hue-saturation-value (HSV) color space than red-green-blue (RGB) . Li et al [26] present a model that utilizes the HSV color channel for the processing of masked faces. This classifies head pose images with masks through color texture inspection.…”

Section: B Face Mask Detection Techniquesmentioning

confidence: 99%

A review of the prevalent ICT techniques used for COVID-19 SOP violation detection

Ikram

Saeed

Ayn

et al. 2020

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)

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COVID-19 is a disease that has adversely impacted the health and daily lives of people worldwide, therefore there must be measures in place to control the spread of such diseases. Standard Operating Procedures (SOPs) such as wearing masks and maintaining social distancing are enforced by the Government and healthcare authorities. These SOP's mitigate the spread of COVID-19, but it has been observed with concern that people do not generally follow them. This survey work explores classical techniques that can be used to detect SOP violations. These are primarily computer vision based methods used in object detection and distance estimation. We will also explore deep learning based techniques used for object detection to detect SOP violations.

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Multi-angle Head Pose Classification when Wearing the Mask for Face Recognition under the COVID-19 Coronavirus Epidemic

Cited by 54 publications

References 20 publications

A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques

A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques

COVID-19: Understanding the Pandemic Emergence, Impact and Infection Prevalence Worldwide

A review of the prevalent ICT techniques used for COVID-19 SOP violation detection

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