Results 41 to 50 of about 1,934,741 (293)

An aggregated deep convolutional recurrent model for event based surveillance video summarisation: A supervised approach

open access: yesIET Computer Vision, 2021
Surveillance video summarisation is characterised by extracting video segments containing abnormal events from surveillance video footages. Accurate identification of abnormal events from surveillance footages is of paramount importance in surveillance ...
Sreeja M. U., Binsu C. Kovoor
doaj   +1 more source

A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2022
Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring system, and forest monitoring ...
M. Adimoolam   +3 more
doaj   +1 more source

Surveillance Video Synopsis in GIS

open access: yesISPRS International Journal of Geo-Information, 2017
Surveillance videos contain a considerable amount of data, wherein interesting information to the user is sparsely distributed. Researchers construct video synopsis that contain key information extracted from a surveillance video for efficient browsing ...
Yujia Xie   +3 more
doaj   +1 more source

Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing [PDF]

open access: yesIEEE Transactions on Industrial Informatics, 2019
In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using Deep Learning (DL) algorithms and deploy it in an edge computing environment.
Jianguo Chen   +4 more
semanticscholar   +1 more source

European guidelines from the EHTG and ESCP for Lynch syndrome: an updated third edition of the Mallorca guidelines based on gene and gender

open access: yesBJS (British Journal of Surgery), EarlyView., 2020
Recommendations for clinical and molecular identification of LS, surgical and endoscopic management of LS‐associated colorectal cancer and preventive measures for cancer were produced. The emphasis was on surgical and gastroenterological aspects of the cancer spectrum.
T. T. Seppälä   +18 more
wiley   +1 more source

ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2023
Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society.
Maryam Qasim Gandapur, Elena Verdú
doaj   +1 more source

Surveillance video mining [PDF]

open access: yesIET International Conference on Visual Information Engineering (VIE 2006), 2006
This paper approaches the problem of surveillance event characterization at two levels. First, the information characterizable at the single camera image-plane level, where we use a set of occlusion primitives to define a set of time-varying predicates on heterogeneous objects moving in unknown environments.
null Prithwijit Guha   +4 more
openaire   +1 more source

Multi agent parking lots modelling for anomalies detection while parking

open access: yesIET Computer Vision, 2016
Recently crowded cities are having an increasing need for an advanced parking management system to help drivers to locate the vacant and available parking places in real time. In this study, the authors propose a novel multi agent parking lots management
Imen Masmoudi   +3 more
doaj   +1 more source

Video surveillance using distance maps [PDF]

open access: yesSPIE Proceedings, 2006
Human vigilance is limited; hence, automatic motion and distance detection is one of the central issues in video surveillance. Hereby, many aspects are of importance, this paper specially addresses: efficiency, achieving real-time performance, accuracy, and robustness against various noise factors.
Schouten, Th.E.   +2 more
openaire   +2 more sources

Enhanced Few-Shot Learning for Intrusion Detection in Railway Video Surveillance [PDF]

open access: yesIEEE transactions on intelligent transportation systems (Print), 2020
Video surveillance is gaining increasing popularity to assist in railway intrusion detection in recent years. However, efficient and accurate intrusion detection remains a challenging issue due to: (a) limited sample number: only small sample size (or ...
Xiao Gong, Xi Chen, Z. Zhong, Wei Chen
semanticscholar   +1 more source

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