Results 1 to 10 of about 5,777,447 (338)

TDN: Temporal Difference Networks for Efficient Action Recognition [PDF]

Computer Vision and Pattern Recognition, 2020
Temporal modeling still remains challenging for action recognition in videos. To mitigate this issue, this paper presents a new video architecture, termed as Temporal Difference Network (TDN), with a focus on capturing multi-scale temporal information ...
Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu   +3 more
semanticscholar   +1 more source

A Comprehensive Survey of Vision-Based Human Action Recognition Methods

Sensors, 2019
Although widely used in many applications, accurate and efficient human action recognition remains a challenging area of research in the field of computer vision.
Hong-Bo Zhang, Yi-Xiang Zhang, Bineng Zhong, Qing Lei, Lijie Yang, Ji-Xiang Du, Duan-Sheng Chen   +6 more
doaj   +1 more source

Mitigating Data Leakage in a WiFi CSI Benchmark for Human Action Recognition. [PDF]

Sensors (Basel)
Varga D.
europepmc   +3 more sources

Joint-Bone Fusion Graph Convolutional Network for Semi-Supervised Skeleton Action Recognition [PDF]

IEEE transactions on multimedia, 2022
In recent years, graph convolutional networks (GCNs) play an increasingly critical role in skeleton-based human action recognition. However, most GCN-based methods still have two main limitations: 1) They only consider the motion information of the ...
Zhigang Tu, Jiaxu Zhang, Hongyan Li, Yujin Chen, Junsong Yuan   +4 more
semanticscholar   +1 more source

Human Action Recognition Method Based on Action-Time Perception [PDF]

Jisuanji gongcheng
To address the problem of redundant information in action videos and the sparse distribution of feature channels in action information, a 3D residual network based on action-time perception is proposed.
WANG Xiaolu, WEN Jianrong
doaj   +1 more source

Deep Learning based Human Action Recognition [PDF]

ITM Web of Conferences, 2021
Human action recognition has become an important research area in the fields of computer vision, image processing, and human-machine or human-object interaction due to its large number of real time applications.
Pandey Ritik, Chikhale Yadnesh, Verma Ritik, Patil Deepali   +3 more
doaj   +1 more source

Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing

Italian National Conference on Sensors, 2023
Smart living, a concept that has gained increasing attention in recent years, revolves around integrating advanced technologies in homes and cities to enhance the quality of life for citizens.
G. Diraco, G. Rescio, P. Siciliano, A. Leone   +3 more
semanticscholar   +1 more source

Hybrid Relation Guided Set Matching for Few-shot Action Recognition [PDF]

Computer Vision and Pattern Recognition, 2022
Current few-shot action recognition methods reach impressive performance by learning discriminative features for each video via episodic training and designing various temporal alignment strategies.
Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhe Zuo, Changxin Gao, Rong Jin, N. Sang   +7 more
semanticscholar   +1 more source

Statistical Machine Learning for Human Behaviour Analysis

Entropy, 2020
Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...]
Thomas B. Moeslund, Sergio Escalera, Gholamreza Anbarjafari, Kamal Nasrollahi, Jun Wan   +4 more
doaj   +1 more source

Cross-Channel Graph Convolutional Networks for Skeleton-Based Action Recognition

IEEE Access, 2021
In recent years, skeleton-based action recognition, graph convolutional networks, have achieved remarkable performance. In these existing works, the features of all nodes in the neighbor set are aggregated into the updated features of the root node ...
Jun Xie, Wentian Xin, Ruyi Liu, Lijie Sheng, Xiangzeng Liu, Xuesong Gao, Sheng Zhong, Lei Tang, Qiguang Miao   +8 more
doaj   +1 more source