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 …
Abnormal behavior recognition for intelligent video surveillance systems: A review
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …
there is a grown demand for an intelligent system that detects abnormal events. Although …
A review of building occupancy measurement systems
The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …
productivity, comfort conditions and security management. A great number of studies have …
MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences
Human gesture recognition has become a pillar of today's intelligent Human-Computer
Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert …
Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert …
A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …
been growing rapidly in the past decade. The most recent studies attempt to integrate …
Depth map decomposition for monocular depth estimation
We propose a novel algorithm for monocular depth estimation that decomposes a metric
depth map into a normalized depth map and scale features. The proposed network is …
depth map into a normalized depth map and scale features. The proposed network is …
Smart monitoring cameras driven intelligent processing to big surveillance video data
Video surveillance system has become a critical part in the security and protection system of
modem cities, since smart monitoring cameras equipped with intelligent video analytics …
modem cities, since smart monitoring cameras equipped with intelligent video analytics …
Unsupervised anomalous event detection in videos using spatio-temporal inter-fused autoencoder
N Aslam, MH Kolekar - Multimedia Tools and Applications, 2022 - Springer
Automatic detection, localization and interpretation of an unusual event in a sequence of
video is a challenging task due to its equivocal and complex nature. The development of …
video is a challenging task due to its equivocal and complex nature. The development of …
Transfer deep learning along with binary support vector machine for abnormal behavior detection
A Al-Dhamari, R Sudirman, NH Mahmood - IEEE Access, 2020 - ieeexplore.ieee.org
Today, machine learning and deep learning have paved the way for vital and critical
applications such as abnormal detection. Despite the modernity of transfer learning, it has …
applications such as abnormal detection. Despite the modernity of transfer learning, it has …
Surveillance video anomaly detection via non-local U-Net frame prediction
Anomaly detection of surveillance video has become a critical concern in computer vision. It
can be used for real-time monitoring and the timely generation of alarms and is widely …
can be used for real-time monitoring and the timely generation of alarms and is widely …