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 …
Automatic emotion recognition for groups: a review
EA Veltmeijer, C Gerritsen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article aims to summarize and describe research on the topic of automatic group
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
Affective image content analysis: Two decades review and new perspectives
Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …
the rapid advancement of emotional intelligence and the explosive growth of visual data …
Emotiw 2018: Audio-video, student engagement and group-level affect prediction
This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …
Automatic detection of students' affective states in classroom environment using hybrid convolutional neural networks
A TS, RMR Guddeti - Education and information technologies, 2020 - Springer
Predicting the students' emotional and behavioral engagements using computer vision
techniques is a challenging task. Though there are several state-of-the-art techniques for …
techniques is a challenging task. Though there are several state-of-the-art techniques for …
Emotiw 2019: Automatic emotion, engagement and cohesion prediction tasks
A Dhall - 2019 International Conference on Multimodal …, 2019 - dl.acm.org
This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The
EmotiW benchmarking platform provides researchers with an opportunity to evaluate their …
EmotiW benchmarking platform provides researchers with an opportunity to evaluate their …
[PDF][PDF] Versatile audio-visual learning for handling single and multi modalities in emotion regression and classification tasks
Most current audio-visual emotion recognition models lack the flexibility needed for
deployment in practical applications. We envision a multimodal system that works even …
deployment in practical applications. We envision a multimodal system that works even …
Group emotion detection based on social robot perception
M Quiroz, R Patiño, J Diaz-Amado, Y Cardinale - Sensors, 2022 - mdpi.com
Social robotics is an emerging area that is becoming present in social spaces, by
introducing autonomous social robots. Social robots offer services, perform tasks, and …
introducing autonomous social robots. Social robots offer services, perform tasks, and …
Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features
GV Reddy, CVRD Savarni, S Mukherjee - Cognitive Systems Research, 2020 - Elsevier
In spite of the recent advancements in the field of deep learning based techniques for facial
expression recognition, the efficiency of the state-of-the-art recognition methods in the wild …
expression recognition, the efficiency of the state-of-the-art recognition methods in the wild …
Versatile audio-visual learning for emotion recognition
Most current audio-visual emotion recognition models lack the flexibility needed for
deployment in practical applications. We envision a multimodal system that works even …
deployment in practical applications. We envision a multimodal system that works even …