View adaptive neural networks for high performance skeleton-based human action recognition
Skeleton-based human action recognition has recently attracted increasing attention thanks
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
View adaptive recurrent neural networks for high performance human action recognition from skeleton data
Skeleton-based human action recognition has recently attracted increasing attention due to
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
A deep survey on supervised learning based human detection and activity classification methods
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
video surveillance, pedestrian detection, intelligent vehicle system and home care center …
[PDF][PDF] 人体行为识别数据集研究进展
朱红蕾， 朱昶胜， 徐志刚 - 自动化学报, 2018 - aas.net.cn
摘要人体行为识别是计算机视觉领域的一个研究热点, 具有重要理论价值和现实意义. 近年来,
为了评价人体行为识别方法的性能, 大量的公开数据集被创建. 本文系统综述了人体行为识别 …
为了评价人体行为识别方法的性能, 大量的公开数据集被创建. 本文系统综述了人体行为识别 …
Multitask linear discriminant analysis for view invariant action recognition
Robust action recognition under viewpoint changes has received considerable attention
recently. To this end, self-similarity matrices (SSMs) have been found to be effective view …
recently. To this end, self-similarity matrices (SSMs) have been found to be effective view …
An implementation of optimized framework for action classification using multilayers neural network on selected fused features
In video sequences, human action recognition is a challenging problem due to motion
variation, in frame person difference, and setting of video recording in the field of computer …
variation, in frame person difference, and setting of video recording in the field of computer …
3D pose from motion for cross-view action recognition via non-linear circulant temporal encoding
We describe a new approach to transfer knowledge across views for action recognition by
using examples from a large collection of unlabelled mocap data. We achieve this by directly …
using examples from a large collection of unlabelled mocap data. We achieve this by directly …
Max-margin action prediction machine
The speed with which intelligent systems can react to an action depends on how soon it can
be recognized. The ability to recognize ongoing actions is critical in many applications, for …
be recognized. The ability to recognize ongoing actions is critical in many applications, for …
Hierarchically learned view-invariant representations for cross-view action recognition
Recognizing human actions from varied views is challenging due to huge appearance
variations in different views. The key to this problem is to learn discriminant view-invariant …
variations in different views. The key to this problem is to learn discriminant view-invariant …
Cross-view action recognition via transferable dictionary learning
Discriminative appearance features are effective for recognizing actions in a fixed view, but
may not generalize well to a new view. In this paper, we present two effective approaches to …
may not generalize well to a new view. In this paper, we present two effective approaches to …