Results 41 to 50 of about 1,934,741 (293)
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.
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
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]
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
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
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
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Surveillance video mining [PDF]
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
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]
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]
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

