Skeleton-based action recognitionSpatio-temporal graph descriptorSpatio-temporal motion descriptorsInvariant representationsSkeleton-based human action recognition is crucial for many practical applications. Ho
论文翻译:Two-Stream 3D Convolutional Neural Network for Human Skeleton-Based Action Recognition 摘要:在三维人体动作识别中,如何有效地从骨骼序列中提取时空信息仍然是一个挑战。虽然最近的动作识别方法是基于递归神经网络的,表现出了突出的性能,但这些方法的缺点之一是倾向于过分强调时间信息。由于三维卷积神经网络(3D...
论文翻译:Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks 摘要三维骨骼序列中的人体动作识别已经引起了人们的广泛关注。最近,由于长短期记忆(LSTM)网络在序列数据的依赖性和动态性建模方面的优势,在这方面表现出了良好的性能。并不是所有的骨骼关节都具有动作识别的信息性,...
W. Ding, et al., "STFC: Spatio-temporal feature chain for skeleton-based human action recognition", Journal of Visual Communication and Image Representation, Vol.26, pp.329-337, 2015.W. Ding, K. Liu, F. Cheng, J. Zhang, Stfc: spatio-temporal feature chain for skeleton-based human ...
论文题目:Spatio-temporal invariant descriptors for skeleton-based human action recognition 作者&团队:Aouaidjia K, Zhang C, Pitas I. 1.河南大学计算机与信息工程学院 2.希腊塞萨洛尼基亚里士多德大学信息学系 发表期刊/会议:Information Sciences 中科院分区:SCI 2区 ...
论文题目:InfoGCN: Representation Learning for Human Skeleton-based Action Recognition(Infogcn:面向人体骨架动作识别的表示学习) 作者&团队:Chi H, Ha M H, Chi S, et al. 1.电工与计算机工程学院,普渡大学,西拉法耶特,美国 2.Kaist,大田,韩国 ...
Skeleton-based Human Action Recognition (SHAR) is one of the most trending research topics in computer vision, which relies on the investigation of multi-modal data acquired from different sensory devices. Due to its faster execution speed, skeleton-base
Skeleton-based human action recognition has attracted great interest thanks to the easy accessibility of the human skeleton data. Recently, there is a trend of using very deep feedforward neural networks to model the 3D coordinates of joints without considering the computational efficiency. In this ...
Adversarial Attack on Skeleton-Based Human Action Recognition 基于骨架的人体动作识别的对抗攻击ST-GCN的对抗攻击 原文:https://arxiv.org/abs/1909.06500 背景 图卷积网络适合做基于骨架的人体动作识别 ST-GCN 但是鲁棒性没做过,因为骨骼关节的时空性质是稀疏和离散的,并且有物理约束 ...
Human skeleton sequences are a crucial data modality for human motion representation. The primary challenge in skeleton-based action recognition lies in the effective capture of spatio-temporal correlations among skeleton joints. However, when the human body interacts with other objects in the backgrou...