Journal ArticleDOI
Intelligent surveillance based on normality analysis to detect abnormal behaviors
Javier Albusac,David Vallejo,Luis Jimenez-Linares,Jose Jesus Castro-Schez,Luis Rodriguez-Benitez +4 more
Reads0
Chats0
TLDR
Intelligent surveillance refers to using Artificial Intelligence techniques in order to improve surveillance and deal with semantic information obtained from low-level security devices.Abstract:
Intelligent surveillance refers to using Artificial Intelligence techniques in order to improve surveillance and deal with semantic information obtained from low-level security devices. In this con...read more
Citations
More filters
Journal ArticleDOI
Intelligent Video Systems and Analytics: A Survey
TL;DR: This paper provides a comprehensive account on theory and application of intelligent video systems and analytics that highlights the video system architectures, tasks, and related analytic methods.
Journal ArticleDOI
A Review of Anomaly Detection in Automated Surveillance
TL;DR: This review presents an overview of recent research approaches on the topic of anomaly detection in automated surveillance, covering a wide range of domains, employing a vast array of techniques.
Journal ArticleDOI
Abnormal event detection in crowded scenes using one-class SVM
TL;DR: Experimental results show that the proposed method outperforms existing methods based on the UCSD anomaly detection video datasets.
Journal Article
Intelligent video surveillance systems for public spaces – a survey
TL;DR: Some of the latest state-of-the-art intelligent video surveillance systems will be presented in the context of their most desirable characteristics and features, and several solutions for each category are described.
Journal ArticleDOI
Anomaly detection and localization in crowded scenes using connected component analysis
TL;DR: Experimental results on the UCSD-PED2 datasets show that the proposed method can reliably detect abnormal events in video sequences, outperforming the current state-of-the-art methods.
References
More filters
Journal ArticleDOI
W/sup 4/: real-time surveillance of people and their activities
TL;DR: W/sup 4/ employs a combination of shape analysis and tracking to locate people and their parts and to create models of people's appearance so that they can be tracked through interactions such as occlusions.
Journal ArticleDOI
A survey on visual surveillance of object motion and behaviors
TL;DR: This paper reviews recent developments and general strategies of the processing framework of visual surveillance in dynamic scenes, and analyzes possible research directions, e.g., occlusion handling, a combination of two and three-dimensional tracking, and fusion of information from multiple sensors, and remote surveillance.
Journal ArticleDOI
A Bayesian computer vision system for modeling human interactions
TL;DR: A real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual surveillance task and demonstrates the ability to use these a priori models to accurately classify real human behaviors and interactions with no additional tuning or training.
Book ChapterDOI
Anomalous Payload-Based Network Intrusion Detection
Ke Wang,Salvatore J. Stolfo +1 more
TL;DR: A payload-based anomaly detector, called PAYL, for intrusion detection that demonstrates the surprising effectiveness of the method on the 1999 DARPA IDS dataset and a live dataset the authors collected on the Columbia CS department network.
Journal ArticleDOI
Recognition of visual activities and interactions by stochastic parsing
Yuri A. Ivanov,Aaron F. Bobick +1 more
TL;DR: A probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents and how the system correctly interprets activities of multiple interacting objects is demonstrated.