Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
A survey on deep learning for human activity recognition
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
[PDF][PDF] 智能视频监控技术综述
黄凯奇， 陈晓棠， 康运锋， 谭铁牛 - 计算机学报, 2015 - cjc.ict.ac.cn
摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
Constructing stronger and faster baselines for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
Vision-based human activity recognition: a survey
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …
human activities using acquired information from various types of sensors. Although several …
[HTML][HTML] Computer vision techniques in construction: a critical review
Computer vision has been gaining interest in a wide range of research areas in recent
years, from medical to industrial robotics. The architecture, engineering and construction …
years, from medical to industrial robotics. The architecture, engineering and construction …
[HTML][HTML] A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
Stronger, faster and more explainable: A graph convolutional baseline for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA) …
features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA) …
[HTML][HTML] Skeleton-based action recognition via spatial and temporal transformer networks
Abstract Skeleton-based Human Activity Recognition has achieved great interest in recent
years as skeleton data has demonstrated being robust to illumination changes, body scales …
years as skeleton data has demonstrated being robust to illumination changes, body scales …
Human action recognition using attention based LSTM network with dilated CNN features
Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …