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Detecting urban anomalies using multiple spatio-temporal data sources
Urban anomalies, such as abnormal movements of crowds and accidents, may result in loss
of life or property if not handled properly. It would be of great value for governments if …
of life or property if not handled properly. It would be of great value for governments if …
Quantifying and detecting collective motion in crowd scenes
People in crowd scenes always exhibit consistent behaviors and form collective motions.
The analysis of collective motion has motivated a surge of interest in computer vision …
The analysis of collective motion has motivated a surge of interest in computer vision …
Time-series anomaly detection using dynamic programming based longest common subsequence on sensor data
This study proposes a novel approach to time-series anomaly detection by solving the
longest common subsequence (LCS) problem of two time-series data. The conventional …
longest common subsequence (LCS) problem of two time-series data. The conventional …
[PDF][PDF] An integrated multi-level feature fusion framework for crowd behaviour prediction and analysis
MY Murthygowda, RG Krishnegowda… - Indonesian Journal of …, 2023 - academia.edu
The uncontrolled outburst in population has led to crowd gatherings in various public places
causing panic and disaster in certain unpleasant and extreme conditions. A study on the …
causing panic and disaster in certain unpleasant and extreme conditions. A study on the …
Importance of small probability events in big data: Information measures, applications, and challenges
In many applications (eg, anomaly detection and security systems) of smart cities, rare
events dominate the importance of the total information on big data collected by the Internet …
events dominate the importance of the total information on big data collected by the Internet …
Big data analytics for event detection in the IoT-multicriteria approach
Security requirements applicable to the Internet of Things (IoT) should aim to ensure
integrity, authenticity and authorization, confidentiality/privacy, nonrepudiation, and last but …
integrity, authenticity and authorization, confidentiality/privacy, nonrepudiation, and last but …
[HTML][HTML] A human behavior analysis model to track object behavior in surveillance videos
P Pattan, S Arjunagi - Measurement: Sensors, 2022 - Elsevier
In potential disasters, real world scenarios and public events, understanding of crowd
psychology is a challenging process and detection of crowd behaviors in those events is …
psychology is a challenging process and detection of crowd behaviors in those events is …
Information processing device, information processing method, and recording medium storing program
R Takahashi, T Sasaki - US Patent 10,601,852, 2020 - Google Patents
Provided is an information processing device that includes a processor and has a capability
to detect abnormalities on an in-vehicle network that may be caused by an attack. The …
to detect abnormalities on an in-vehicle network that may be caused by an attack. The …
Anomaly detection and classification for streaming data using PDEs
Nondominated sorting, also called Pareto depth analysis (PDA), is widely used in
multiobjective optimization and has recently found important applications in multicriteria …
multiobjective optimization and has recently found important applications in multicriteria …
Anomaly detection via adaptive greedy model
Anomaly detection is one of the fundamental problems within diverse research areas and
application domains. In comparison with most sparse representation based anomaly …
application domains. In comparison with most sparse representation based anomaly …