A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Graph convolutional neural network for human action recognition: A comprehensive survey

T Ahmad, L **, X Zhang, S Lai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Video-based human action recognition is one of the most important and challenging areas
of research in the field of computer vision. Human action recognition has found many …

Groupformer: Group activity recognition with clustered spatial-temporal transformer

S Li, Q Cao, L Liu, K Yang, S Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Group activity recognition is a crucial yet challenging problem, whose core lies in fully
exploring spatial-temporal interactions among individuals and generating reasonable group …

Learning actor relation graphs for group activity recognition

J Wu, L Wang, L Wang, J Guo… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Modeling relation between actors is important for recognizing group activity in a multi-person
scene. This paper aims at learning discriminative relation between actors efficiently using …

Actor-transformers for group activity recognition

K Gavrilyuk, R Sanford, M Javan… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper strives to recognize individual actions and group activities from videos. While
existing solutions for this challenging problem explicitly model spatial and temporal …

Host–parasite: Graph LSTM-in-LSTM for group activity recognition

X Shu, L Zhang, Y Sun, J Tang - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
This article aims to tackle the problem of group activity recognition in the multiple-person
scene. To model the group activity with multiple persons, most long short-term memory …

Spatio-temporal dynamic inference network for group activity recognition

H Yuan, D Ni, M Wang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Group activity recognition aims to understand the activity performed by a group of people. In
order to solve it, modeling complex spatio-temporal interactions is the key. Previous …

Toward human activity recognition: a survey

G Saleem, UI Bajwa, RH Raza - Neural Computing and Applications, 2023 - Springer
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

HiGCIN: Hierarchical graph-based cross inference network for group activity recognition

R Yan, L **e, J Tang, X Shu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Group activity recognition (GAR) is a challenging task aimed at recognizing the behavior of a
group of people. It is a complex inference process in which visual cues collected from …

Dual-AI: Dual-path actor interaction learning for group activity recognition

M Han, DJ Zhang, Y Wang, R Yan… - Proceedings of the …, 2022 - openaccess.thecvf.com
Learning spatial-temporal relation among multiple actors is crucial for group activity
recognition. Different group activities often show the diversified interactions between actors …