The aim of the study is to understand how a video-based reflection method could support an action learning (AL) and action research (AR) process to enhance transformative capacity among a group of team leaders in a changing youth care organization. Sixteen team leaders participated in the video...
Chapter © 2024 Students’ performance, attitude, and classroom observation data to assess the effect of problem-based learning approach supplemented by YouTube videos in Ugandan classroom Article Open access 25 April 2024 There is a growing need for engineers to sustain our current life and ma...
{video}. In this paper, we present a novel framework to boost action recognition by learning a deep spatio-temporal video representation at hierarchical multi-granularity. Specifically, we model each granularity as a single stream by 2D (for \emph{frame} and \emph{motion...
Cross-View Action Modeling, Learning, and Recognition 来自 掌桥科研 喜欢 0 阅读量: 577 作者:J Wang,X Nie,Y Xia,Y Wu,SC Zhu 摘要: Existing methods on video-based action recognition are generally view-dependent, i.e., performing recognition from the same views seen in the training data. ...
Li, A.et al.Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning.Pattern Recognit.108, 107355 (2020). ArticleGoogle Scholar Razali, H., Mordan, T. & Alahi, A. Pedestrian intention prediction: A convolutional bottom-up multi-task approach...
The goal of set- supervised action learning is to learn a segmentation model that predicts the action of each frame during testing, using training videos that are weakly-labeled by their action-sets. 3.2. Proposed Method We propose an attention-based network...
Human Action Recognition From Digital Videos Based on Deep Learning In this paper, we implement deep learning methods to resolve human action recognition problem. We propose a new method that combines Convolutional Neural ... L Chen,L Jia,Y Wei - 《Proceedings of International Conference on Contro...
Pose primitive based human action recognition in videos or still images This paper presents a method for recognizing human actions based on pose primitives. In learning mode, the parameters representing poses and activities are... C Thurau,V Hlavac - IEEE Conference on Computer Vision & Pattern Re...
Multi-expert human action recognition with hierarchical super-class learning 2022, Knowledge-Based Systems Citation Excerpt : Ultimately, the state-of-the-art studies regarding data imbalance issue are described in more detail. In recent years, numerous methods in visual object classification [25], ob...
Vision-based Human activity recognition is becoming a trendy area of research due to its wide application such as security and surveillance, human–co