Face detection and tracking using hybrid margin-based ROI techniques

Rehman, Bacha; Ong, Wee-Hong; Tan, Abby; Ngo, Trung Dung

doi:10.1007/s00371-019-01649-y

Cited by 15 publications

(6 citation statements)

References 40 publications

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“…Nowadays, Haar-related analysis techniques are very investigated to perform face feature analysis. In [19], the authors exploit Haar-based feature analysis in a hybrid processing scheme and a comparative study shows their efficiencies. In this paper, the design of our method conjointly employs Haar-based face feature detection techniques.…”

Section: Proposed Face-feature Based Methods To Validate the Wearing Of The Maskmentioning

confidence: 99%

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Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19

Hammoudi¹,

Benhabiles²

2020

Computer Modeling in Engineering &Amp; Sciences

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In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019-2020 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world. The COVID-19 contagiousness is known to be high by comparison with the flu. In this paper, we propose a design of a mobile application for permitting everyone having a smartphone and being able to take a picture to verify that his/her protection mask is correctly positioned on his/her face. Such application can be particularly useful for people using face protection mask for the first time and notably for children and old people. The designed method exploits Haar-like feature descriptors to detect key features of the face and a decision-making algorithm is applied. Experimental results show the potential of this method in the validation of the correct mask wearing. To the best of our knowledge, our work is the only one that currently proposes a mobile application design "CheckYourMask" for validating the correct wearing of protection mask.

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Section: Proposed Face-feature Based Methods To Validate the Wearing Of The Maskmentioning

confidence: 99%

“…Currently, we are facing the 2019-2020 coronavirus pandemic. Coronavirus disease 2019 (COVID- 19) is an infectious disease with first symptoms similar to the flu. The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world.…”

Section: Introductionmentioning

confidence: 99%

Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19

Hammoudi¹,

Benhabiles²

2020

Computer Modeling in Engineering &Amp; Sciences

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“…The university-enterprise and university-university systems work together to build wealthy autonomous experimental teaching content and teaching resources to support and guarantee students' autonomous learning. Through the introduction of project cases,such as medical image intelligent analysis system, face detection and tracking systems [20,21], handwritten numeral recognition systems based on artificial intelligence [22], dynamic spectrum interaction of UAV flight formation communication [23] and other project cases. Theory and practice are closely linked together, so that students can understand the usefulness of the course and the systematicness of engineering in the learning process.…”

Section: Guided By Industrial Needs and Led By Training Objectivesmentioning

confidence: 99%

Application and Exploration of Artificial Intelligence and Edge Computing in Long-Distance Education on Mobile Network

et al. 2021

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In response to the demand for high-quality electronic information talents in the mobile network industry, in the situation of artificial intelligence (AI) to promote technological innovation, this paper conducts an overall design in the target system, curriculum system, teaching platform, teaching mode and teaching case. The practice education mode of teaching practice, engineering practice, innovation practice, and enterprise practice, which aims to improve students' ability to solve complex engineering problems, is constructed. The mode breaks geographical boundaries between schools and enterprises to build the through-through experimental teaching course system based on artificial intelligence and edge computing and design a medical image intelligent analysis system project case based on Mobile Edge Computing (MEC), which improves students' practical ability, engineering design ability, scientific research innovation ability, enterprise practice ability and mobile network application capabilities. At the same time, the hardware portability of the edge computing platform provides good conditions for longdistance education and the mobile network. This method is a beneficial attempt to cultivate high-level, diversified, and creative electronic information talents.

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“…Este método se puede utilizar en sistemas de autenticación y/o reconocimiento facial, así como en sistemas de detección de emociones y/o detección de somnolencia, fatiga o aburrimiento de personas mediante la captura y procesamiento de expresiones faciales. Como trabajo futuro se puede llevar a cabo un estudio comparativo del método propuesto con otras técnicas de detección facial publicadas recientemente [27][28][29].…”

Section: Conclusiones Y Trabajo a Futurounclassified

Detección efectiva de rostros en imágenes utilizando descriptores basados en HOG

Alcántara-Montiel¹,

Pedraza-Ortega²,

Ramos-Arreguín³

et al. 2019

RCS

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Resumen. El propósito de esta investigación es desarrollar un detector de rostros eficiente basado en descriptores HOG (Histogram of Gradient) y clasificadores tipo cascada; mediante la combinación de estos descriptores y clasificadores es posible obtener un detector de rostros robusto, el cual pueda detector rostros en posiciones diferentes en diversos escenarios, los cuales pueden tener una variación en el nivel de iluminación. La propuesta presentada mejora el rango de detección en comparación con otros detectores de rostro existentes. El entrenamiento de los detectores se llevó a cabo utilizando las bases de datos de rostros de libre acceso.

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Face detection and tracking using hybrid margin-based ROI techniques

Cited by 15 publications

References 40 publications

Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19

Validating the CorrectWearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19

Application and Exploration of Artificial Intelligence and Edge Computing in Long-Distance Education on Mobile Network

Detección efectiva de rostros en imágenes utilizando descriptores basados en HOG

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