Results 261 to 270 of about 2,738,599 (315)

Drone-Based Human Action Recognition for Surveillance: A Multi-Feature Approach

2024 International Conference on Engineering & Computing Technologies (ICECT)
Understanding human actions is crucial for enabling machines to interpret human behavior, with applications spanning video-based surveillance applications, sports monitoring, and entertainment systems.
Yawar Abbas, Ahmad Jalal
semanticscholar   +1 more source

FEXNet: Foreground Extraction Network for Human Action Recognition

IEEE transactions on circuits and systems for video technology (Print), 2022
As most human actions in video sequences embody the continuous interactions between foregrounds rather than the background scene, it is significant to disentangle these foregrounds from the background for advanced action recognition systems.
Zhongwei Shen, Xiaojun Wu, Tianyang Xu
semanticscholar   +1 more source

Biological inspired human action recognition

2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS), 2013
Computational neuroscience studies through Functional magnetic resonance imaging (fMRI) claimed that human action recognition in the brain of mammalian pursues two separated pathways in the model, which are specialized for the analysis of motion (optic flow) and form information[3].
Bardia Yousefi, null Chu Kiong Loo, Ali Memariani   +2 more
openaire   +1 more source

Continuous Multi-View Human Action Recognition

IEEE transactions on circuits and systems for video technology (Print), 2022
Human action recognition which recognizes human actions in a video is a fundamental task in computer vision field. Although multiple existing methods with single-view or multi-view have been presented for human action recognition, these recognition ...
Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding   +4 more
semanticscholar   +1 more source

Automatic Recognition of Human Actions

2019 13th International Conference on Open Source Systems and Technologies (ICOSST), 2019
Understanding and recognizing human actions automatically have several applications in computer vision and human-machine interaction. In this paper, we aim to identify human actions in a short video automatically on KTH Dataset. We represented videos involving human actions into feature vector, which is invariant to small changes in the video and thus ...
Sumayyea Salahuddin, Ibrahim Ahmed, Muhammad Rashid, null Shafi-ur-Rehman, Nasru Minallah   +4 more
openaire   +1 more source

Human Action Recognition: An Overview

2016
In this paper, an approach for detection of human actions from video is given. It has many applications, such as surveillance, human healthcare systems, border security, virtual reality, HMI, etc. This paper includes the detection of human actions and labeling them on an LCD. The frames are made from video and then median filter is applied. The feature
null Pravin Dhulekar, S. T. Gandhe, null Harshada Chitte, null Komal Pardeshi   +3 more
openaire   +1 more source

Human Action Recognition Using DFT

2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 2011
Action is any meaningful movement of the human and it is used to convey information or to interact naturally without any mechanical devices. Human action recognition is motivated by some of the applications such as video retrieval, Human robot interaction, to interact with deaf and dumb people etc.
Sonal Kumari, Suman K. Mitra
openaire   +1 more source

Fusion of Skeleton and RGB Features for RGB-D Human Action Recognition

IEEE Sensors Journal, 2021
The output of Microsoft Kinect is a multimodal signal, which provides RGB videos, depth sequences and skeleton information at the same time, opening up a new opportunity for the research of human action recognition.
Xu Weiyao, W. Muqing, Zhao Min, Xiao Ting   +3 more
semanticscholar   +1 more source

Review on Human Action Recognition

2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017
As the "Human-centered computing" is becoming more and more popular and novel applications are coming up, action recognition and activity understanding are attracting researchers' attention in Pervasive computing and humancomputer interaction. Now, human motion recognition technology has broad application prospects in many research areas, such as ...
Chong Chen, Bo He, Heng Zhang
openaire   +1 more source

PoHMM-based human action recognition

2009 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009
In this paper we approach the human action recognition task using the Product of Hidden Markov Models (PoHMM). This approach allow us to get large state-space models from the normalized product of several simple HMMs. We compare this mixed graphical model with other directed multi-chain models like Coupled Hidden Markov Model (CHMM) or Factorial Hidden
M. Angeles Mendoza, Nicolas Perez de la Blanca, Manuel J. Marin-Jimenez   +2 more
openaire   +1 more source