Results 61 to 70 of about 2,834,648 (359)
From CNNs to Transformers in Multimodal Human Action Recognition: A Survey [PDF]
ACM Trans. Multim. Comput. Commun. Appl.Due to its widespread applications, human action recognition is one of the most widely studied research problems in Computer Vision. Recent studies have shown that addressing it using multimodal data leads to superior performance as compared to relying ...
Muhammad Bilal Shaikh +3 more
semanticscholar +1 more source
Improved two-stream model for human action recognition
EURASIP Journal on Image and Video Processing, 2020 This paper addresses the recognitions of human actions in videos. Human action recognition can be seen as the automatic labeling of a video according to the actions occurring in it. It has become one of the most challenging and attractive problems in the
Yuxuan Zhao +4 more
doaj +1 more source
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
, 2019 Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Duan, Ling-Yu +5 more
core +1 more source
View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Skeleton-based human action recognition has recently attracted increasing attention thanks to the accessibility and the popularity of 3D skeleton data. One of the key challenges in action recognition lies in the large variations of action representations
Pengfei Zhang +5 more
semanticscholar +1 more source
Human Action Recognition by Radon Transform [PDF]
2008 IEEE International Conference on Data Mining Workshops, 2008 A new feature description is used for human behaviour representation and recognition. The feature is based on Radon transforms of extracted silhouettes. Key postures are selected based on the Radon transform. Key postures are combined to construct an action template for each sequence.
Yan Chen 0020 +2 more
openaire +1 more source
Action-Attending Graphic Neural Network
, 2017 The motion analysis of human skeletons is crucial for human action recognition, which is one of the most active topics in computer vision. In this paper, we propose a fully end-to-end action-attending graphic neural network (A$^2$GNN) for skeleton-based ...
Cui, Zhen +5 more
core +1 more source
Review of Human Action Recognition Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Human action recognition is one of the important topics in video understanding. It is widely used in video surveillance, human-computer interaction, motion analysis, and video information retrieval.
QIAN Huifang, YI Jianping, FU Yunhu
doaj +1 more source
Histogram of Oriented Principal Components for Cross-View Action Recognition [PDF]
, 2015 Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which are viewpoint dependent. In contrast, we directly process pointclouds for cross-view action recognition from unknown
Huynh, Du +3 more
core +1 more source
A Bibliometric Analysis of Human Action Recognition [PDF]
, 2017 Over the past two decades, the use of computer vision methods for enabling machines to recognize human action from a sequence of images, has grown as information technologies advance, and hardware availability such as cameras (especially closed circuit television) has increased.
Alihossein Aryanfar +4 more
openaire +1 more source
Refined Spatial Network for Human Action Recognition
IEEE Access, 2019 Effective video representation is a key ingredient in action recognition, but how to learn effective spatial features remains a fundamental and challenging task.
Chunlei Wu +5 more
doaj +1 more source