Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …
[PDF][PDF] Trustworthy autonomous vehicles
D Fernández Llorca, E Gómez - Publications Office of the European Union …, 2021 - invett.es
This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …
The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
This work focuses on facial processing, which refers to artificial intelligence (AI) systems that
take facial images or videos as input data and perform some AI-driven processing to obtain …
take facial images or videos as input data and perform some AI-driven processing to obtain …
Facial artificial intelligence in ophthalmology and medicine: fundamental and transformative applications
JJH Chan, PW Leung, H Kilgour… - Therapeutic Advances …, 2024 - journals.sagepub.com
The integration of artificial intelligence (AI) in healthcare, particularly in the domain of facial
processing tasks, has witnessed substantial growth in the 21st century. However, this …
processing tasks, has witnessed substantial growth in the 21st century. However, this …
Recognition and intensity estimation of facial expression using ensemble classifiers
H Nomiya, S Sakaue, T Hochin - International Journal of Networked and …, 2016 - Springer
Facial expression recognition (FER) has been widely studied since it can be used for
various applications. However, most of FER techniques focus on discriminating typical facial …
various applications. However, most of FER techniques focus on discriminating typical facial …
Scalable multimodal fusion for continuous affect sensing
I Hupont, S Ballano, S Baldassarri… - 2011 IEEE Workshop …, 2011 - ieeexplore.ieee.org
The success of affective interfaces lies in the fusion of emotional information coming from
different modalities. This paper proposes a scalable methodology for fusing multiple affect …
different modalities. This paper proposes a scalable methodology for fusing multiple affect …
Facial Expression Intensity Estimation using Deep Convolutional Neural Network
T Kawashima, H Nomiya, T Hochin - … of the the 8th International Virtual …, 2021 - dl.acm.org
Facial expression recognition has been applied in various fields, but it is not enough to
express complex emotions. It is required to detect the intensity of facial expression because …
express complex emotions. It is required to detect the intensity of facial expression because …
A framework for computing crowd emotions using agent based modeling
We present a computational framework for modeling geospatial dynamics of crowd emotions
as part of anticipatory analysis. The framework is based on agent based modeling (ABM) …
as part of anticipatory analysis. The framework is based on agent based modeling (ABM) …
[PDF][PDF] Human-computer interaction using deep fusion model-based facial expression recognition system
ABSTRACT A deep fusion model is proposed for facial expression-based human-computer
Interaction system. Initially, image preprocessing, ie, the extraction of the facial region from …
Interaction system. Initially, image preprocessing, ie, the extraction of the facial region from …
Computational representation and analysis of emotion dynamics
Human emotions are dynamic in nature. The intensity with which they are felt changes over
time, and they have a natural timescale of expression, from onset to decay. Further …
time, and they have a natural timescale of expression, from onset to decay. Further …