Skeleton-Based Group Activity Recognition via Spatial-Temporal Panoramic Graph
Abstract Group Activity Recognition aims to understand collective activities from videos.
Existing solutions primarily rely on the RGB modality, which encounters challenges such as …
Existing solutions primarily rely on the RGB modality, which encounters challenges such as …
Multi-scale motion-based relational reasoning for group activity recognition
Existing group activity recognition methods generally use optical flow image to represent
motion within videos, which often struggle to capture the movements of individuals …
motion within videos, which often struggle to capture the movements of individuals …
MPT-PAR: Mix-Parameters Transformer for Panoramic Activity Recognition
W Gan, Y Sun, F Liu, X Luo - arXiv preprint arXiv:2408.00420, 2024 - arxiv.org
The objective of the panoramic activity recognition task is to identify behaviors at various
granularities within crowded and complex environments, encompassing individual actions …
granularities within crowded and complex environments, encompassing individual actions …
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
Weakly-Supervised Group Activity Recognition (WSGAR) aims to understand the activity
performed together by a group of individuals with the video-level label and without actor …
performed together by a group of individuals with the video-level label and without actor …
Knowledge Augmented Relation Inference for Group Activity Recognition
Z Wang, Z Li, X Lang, Y Zheng, M Tian… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Group activity recognition is a challenging task because it involves diverse individual actions
and complex relations. Most existing methods enhance individual representation by …
and complex relations. Most existing methods enhance individual representation by …
ActivityCLIP: Enhancing Group Activity Recognition by Mining Complementary Information from Text to Supplement Image Modality
G Xu, J Yin, F Zhou, Y Dang - arXiv preprint arXiv:2407.19820, 2024 - arxiv.org
Previous methods usually only extract the image modality's information to recognize group
activity. However, mining image information is approaching saturation, making it difficult to …
activity. However, mining image information is approaching saturation, making it difficult to …
[HTML][HTML] Empowering Efficient Spatio-Temporal Learning with a 3D CNN for Pose-Based Action Recognition
Z Ren, X Xiao, H Nie - Sensors (Basel, Switzerland), 2024 - pmc.ncbi.nlm.nih.gov
Action recognition based on 3D heatmap volumes has received increasing attention recently
because it is suitable for application to 3D CNNs to improve the recognition performance of …
because it is suitable for application to 3D CNNs to improve the recognition performance of …
Exploring global context and position-aware representation for group activity recognition
Z Du, Q Wang - Image and Vision Computing, 2024 - Elsevier
This paper explores the context and position information in the scene for group activity
understanding. Firstly, previous group activity recognition methods strive to reason on …
understanding. Firstly, previous group activity recognition methods strive to reason on …
Conversation Activity Recognition Using Interaction Video Sequences in Pedestrian Groups
W Ganaha, T Ozaki, M Inoue, M Nishiyama - International Conference on …, 2024 - Springer
We introduce a method for recognizing conversation activity in a group of people walking
outdoors using a color video sequence acquired from a camera. Many methods have been …
outdoors using a color video sequence acquired from a camera. Many methods have been …
Contrastive Learning-Based Dual Path Fusion Network for Group Activity Recognition
Group activity recognition (GAR) remains challenging due to the diverse interactions among
individuals across different group activities. Therefore, fully exploring the complex …
individuals across different group activities. Therefore, fully exploring the complex …