A survey of advances in vision-based human motion capture and analysis
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
The meaning of action: A review on action recognition and mapping
In this paper, we analyze the different approaches taken to date within the computer vision,
robotics and artificial intelligence communities for the representation, recognition, synthesis …
robotics and artificial intelligence communities for the representation, recognition, synthesis …
Expandable data-driven graphical modeling of human actions based on salient postures
This paper presents a graphical model for learning and recognizing human actions.
Specifically, we propose to encode actions in a weighted directed graph, referred to as …
Specifically, we propose to encode actions in a weighted directed graph, referred to as …
Human action recognition with video data: research and evaluation challenges
M Ramanathan, WY Yau… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Given a video sequence, the task of action recognition is to identify the most similar action
among the action sequences learned by the system. Such human action recognition is …
among the action sequences learned by the system. Such human action recognition is …
SpringerBriefs in Computer Science
This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …
source to many destinations, or from many sources to many destinations. Multicast is …
Kinematic-aware hierarchical attention network for human pose estimation in videos
Previous video-based human pose estimation methods have shown promising results by
leveraging aggregated features of consecutive frames. However, most approaches …
leveraging aggregated features of consecutive frames. However, most approaches …
Action-aware masking network with group-based attention for temporal action localization
Abstract Temporal Action Localization (TAL) is a significant and challenging task that
searches for subtle human activities in an untrimmed video. To extract snippet-level video …
searches for subtle human activities in an untrimmed video. To extract snippet-level video …
PE-USGC: Posture estimation-based unsupervised spatial gaussian clustering for supervised classification of near-duplicate human motion
Near-duplicate human motion classification presents significant challenges due to the subtle
differences and high similarity between actions. This paper introduces a posture estimation …
differences and high similarity between actions. This paper introduces a posture estimation …
Human activity recognition: Various paradigms
MAR Ahad, JK Tan, HS Kim… - … conference on control …, 2008 - ieeexplore.ieee.org
Action and activity representation and recognition are very demanding research area in
computer vision and man-machine interaction. Though plenty of researches have been …
computer vision and man-machine interaction. Though plenty of researches have been …
Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes
O Graa, I Rekik - Journal of neuroscience methods, 2019 - Elsevier
Background Multi-view data representation learning explores the relationship between the
views and provides rich complementary information that can improve computer-aided …
views and provides rich complementary information that can improve computer-aided …