Results 311 to 320 of about 2,834,648 (359)

SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition

European Conference on Computer Vision
Skeleton-based action recognition, which classifies human actions based on the coordinates of joints and their connectivity within skeleton data, is widely utilized in various scenarios.
Jeonghyeok Do, Munchurl Kim
semanticscholar   +1 more source

Oriented gradients for human action recognition

Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010
In this study, we present a simple and effective approach to human action recognition in real time video. We use oriented gradients to represent human contour and recognize human action. First, we detect the human area and obtain human contour information.
Yuan Shen 0004, Zhenjiang Miao
openaire   +1 more source

3D CNN for Human Action Recognition

2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021
Recognizing different human actions from still images or videos is an important research area in the computer vision and artificial intelligence domains. It represents a key step for a wide range of applications including: human-computer interaction, ambient assisted living, intelligent driving and video surveillance.
Sameh Neili Boualia, Najoua Essoukri Ben Amara   +1 more
openaire   +1 more source

Human activity recognition with action primitives

2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007
This paper considers the link between tracking algorithms and high-level human behavioural analysis, introducing the action primitives model that recovers symbolic labels from tracked limb configurations. The model consists of similar short-term actions, action primitives clusters, formed automatically and then labelled by supervised learning.
Zsolt L. Husz, Andrew M. Wallace, Patrick R. Green   +2 more
openaire   +1 more source

Transfer Learning for Human Action Recognition

2011 24th SIBGRAPI Conference on Graphics, Patterns and Images, 2011
To manually collect action samples from realistic videos is a time-consuming and error-prone task. This is a serious bottleneck to research related to video understanding, since the large intra-class variations of such videos demand training sets large enough to properly encompass those variations.
Ana Paula Brandão Lopes, Elerson Rubens da Silva Santos, Eduardo Valle, Jussara M. Almeida, Arnaldo de Albuquerque Araújo   +4 more
openaire   +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

Chaotic Invariants for Human Action Recognition

2007 IEEE 11th International Conference on Computer Vision, 2007
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories of reference joints are used as the representation of the non-linear dynamical system that is generating the action.
Ali, Saad, Basharat, Arslan, Shah, Mubarak   +2 more
openaire   +2 more sources

Human Action Recognition for Social Robots

2019 22nd International Conference on Control Systems and Computer Science (CSCS), 2019
Social assistive robotics is at the forefront of the effort for ensuring independent living and inclusion, especially for the elderly and vulnerable members of the population. We consider that to be proactive is a core requirement of such robotic systems. One key aspect of being proactive is to understand what the user is doing. We explored the task of
Mihai Nan, Alexandra Stefania Ghita, Alexandru-Florin Gavril, Mihai Trascau, Alexandru Sorici, Bogdan Cramariuc, Adina Magda Florea   +6 more
openaire   +1 more source

A discriminative representation for human action recognition

Pattern Recognition, 2016
Action recognition has been standing as an active research topic over the past years. Many efforts have been made and many methods have been proposed. However, there are still some challenges such as illumination condition, viewpoint, camera motion and cluttered background.
Yuan, Yuan, Zheng, Xiangtao, Lu, Xiaoqiang, Lu, Xiaoqiang (luxiaoqiang@opt.ac.cn)   +3 more
openaire   +2 more sources

Human action recognition in smart classroom

Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, 2003
This paper presents a new system for teachers' natural complex action recognition in the smart classroom in order to realize an intelligent cameraman and virtual mouse. First, the system proposes a hybrid human model and employs a 2-order B-spline function to detect the two shoulder joints in the silhouette image to obtain the basic motion features ...
Haibing Ren, Guangyou Xu
openaire   +1 more source