人类动作识别(Human Action Recognition, HAR)旨在理解人类的行为,并为每个行为分配一个标签。多种不同的数据形态都可以用来表示人类的动作和行为。这些模态可以分为2类:视觉模态和非视觉模态,视觉模态和非视觉模态的主要区别在于:视觉模态的数据对人类行为的表示相对直观,但是非视觉模态的数据则不是。视觉模态主要包括...
项目完整代码请见:https://github.com/Xu-Hanjia-SDUWH/Human-Activity-Recognition-HIIT 微信小程序:搜索HIIT动作识
Human action detectionPath planningHuman activity recognition (HAR) is a wide research topic in a field of computer science. Improving HAR can lead to massive breakthrough in humanoid robotics, robots used in medicine and in the field of autonomous vehicles. The system that is able to recognise...
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of acquisition devices such as smartphones, video cameras, and its ability to capture human activity data. While electronic devices and their applications are steadily growing, the advances in Artificial intelligence...
公开数据集整理 (Public datasets for activity recognition) 非常详细的一个行为识别相关的数据集集合,包括描述与下载地址,以及引用该数据集的文章等,如果需要数据集先从这里扫一扫看看有没需要的。 2. 人体动作识别 (HAR) - 基于视频 2.1 人体动作识别架构图 ...
In Human Action Recognition (HAR), attention mechanisms have been primarily adopted on top of standard convolutional or recurrent layers, improving the overall generalization capability. In this work, we introduce Action Transformer (AcT), a simple, fully, self-attentional architecture that consistently...
Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and gaming, etc. Action recognition based on 3D skeleton data allows simplistic, cost-efficient models to be formed making it a widely used...
enabling us to bypass the rest of the pipeline for those sections. This approach not only accelerates the overall video inference time but also minimizes false positives. Running the action recognition models on irrelevant footage, such as a house or car, is unnecessary as they are not designed...
Human action recognition (HAR) is a topic widely studied in computer vision and pattern recognition. Despite the success of recent models for this issue, most of them approach HAR from the closed-set perspective. The closed-set recognition works under the assumption that all classes are known a...
Human activity recognition (HAR) has quite a wide range of applications. Due to its widespread use, new studies have been developed to improve the HAR performance. In this study, HAR is carried out using the commonly preferred KTH and Weizmann dataset, as well as a dataset which we created...