A comprehensive review on deep learning-based methods for video anomaly detection
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …
A review of state-of-the-art techniques for abnormal human activity recognition
C Dhiman, DK Vishwakarma - Engineering Applications of Artificial …, 2019 - Elsevier
The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …
standards of surveillance systems, situation cognizance, homeland safety and smart …
Spatiotemporal anomaly detection using deep learning for real-time video surveillance
R Nawaratne, D Alahakoon… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Rapid developments in urbanization and autonomous industrial environments have
augmented and expedited the need for intelligent real-time video surveillance. Recent …
augmented and expedited the need for intelligent real-time video surveillance. Recent …
[HTML][HTML] A new hybrid deep learning model for human action recognition
N Jaouedi, N Boujnah, MS Bouhlel - … of King Saud University-Computer and …, 2020 - Elsevier
Human behavior has been always an important factor in social communication. The human
activity and action recognition are all clues that facilitate the analysis of human behavior …
activity and action recognition are all clues that facilitate the analysis of human behavior …
[PDF][PDF] 基于视觉的目标检测与跟踪综述
尹宏鹏， 陈波， 柴毅， 刘兆栋 - 自动化学报, 2016 - aas.net.cn
摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
Human gait provides a way of locomotion by combined efforts of the brain, nerves, and
muscles. Conventionally, the human gait has been considered subjectively through visual …
muscles. Conventionally, the human gait has been considered subjectively through visual …
Convolutional neural networks for crowd behaviour analysis: a survey
Interest in automatic crowd behaviour analysis has grown considerably in the last few years.
Crowd behaviour analysis has become an integral part all over the world for ensuring …
Crowd behaviour analysis has become an integral part all over the world for ensuring …
[图书][B] Artificial intelligence in sport performance analysis
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …
characterize successful performance in different sports is an important challenge for all sport …
[PDF][PDF] 深度学习目标检测方法及其主流框架综述
段仲静， 李少波， 胡建军， 杨静， 王铮 - Laser & Optoelectronics …, 2020 - researching.cn
摘要目标检测作为机器视觉中重要任务之一, 是人工智能体系中一个具有重要研究价值的技术
分支. 对于卷积神经网络框架, anchorGbased 模型和anchorGfree 模型三个主流的目标检测 …
分支. 对于卷积神经网络框架, anchorGbased 模型和anchorGfree 模型三个主流的目标检测 …
A semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments
Video surveillance has become very important in the current era of smart cities. Large
amounts of surveillance cameras are deployed at public and private places for surveillance …
amounts of surveillance cameras are deployed at public and private places for surveillance …