Taxonomy of anomaly detection techniques in crowd scenes
A Aldayri, W Albattah - Sensors, 2022 - mdpi.com
With the widespread use of closed-circuit television (CCTV) surveillance systems in public
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …
Analysis of anomaly detection in surveillance video: recent trends and future vision
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles
Abstract In the Internet of Things enabled intelligent transportation systems, a huge amount
of vehicle video data has been generated and real-time and accurate video analysis are …
of vehicle video data has been generated and real-time and accurate video analysis are …
Memory-augmented appearance-motion network for video anomaly detection
Video anomaly detection is a promising yet challenging task, where only normal events are
observed in the training phase. Without any explicit classification boundary between normal …
observed in the training phase. Without any explicit classification boundary between normal …
Human posture estimation and sustainable events classification via pseudo-2D stick model and K-ary tree hashing
A Jalal, I Akhtar, K Kim - Sustainability, 2020 - mdpi.com
This paper suggests that human pose estimation (HPE) and sustainable event classification
(SEC) require an advanced human skeleton and context-aware features extraction …
(SEC) require an advanced human skeleton and context-aware features extraction …
Unsupervised video anomaly detection via normalizing flows with implicit latent features
In contemporary society, surveillance anomaly detection, ie, spotting anomalous events
such as crimes or accidents in surveillance videos, is a critical task. As anomalies occur …
such as crimes or accidents in surveillance videos, is a critical task. As anomalies occur …
Stochastic remote sensing event classification over adaptive posture estimation via multifused data and deep belief network
M Gochoo, I Akhter, A Jalal, K Kim - Remote sensing, 2021 - mdpi.com
Advances in video capturing devices enable adaptive posture estimation (APE) and event
classification of multiple human-based videos for smart systems. Accurate event …
classification of multiple human-based videos for smart systems. Accurate event …
Dual feature extraction network for hyperspectral image analysis
Hyperspectral anomaly detection (HAD) is a research endeavor of high practical relevance
within remote sensing scene interpretation. In this work, we propose an unsupervised …
within remote sensing scene interpretation. In this work, we propose an unsupervised …
Error-robust low-rank tensor approximation for multi-view clustering
Multi-view clustering has been widely developed to improve the clustering performance over
that of single-view clustering. However, the types of errors vary and behave inconsistently in …
that of single-view clustering. However, the types of errors vary and behave inconsistently in …
Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning
The study of human posture analysis and gait event detection from various types of inputs is
a key contribution to the human life log. With the help of this research and technologies …
a key contribution to the human life log. With the help of this research and technologies …