scholarly journals A Complex for Monitoring Transport Infrastructure Facilities Based on Video Surveillance Cameras and Laser Scanners

2021 ◽  
Vol 54 ◽  
pp. 775-782
Author(s):  
Dmitry Gura ◽  
Ivan Markovskii ◽  
Nafset Khusht ◽  
Irina Rak ◽  
Saida Pshidatok
Keyword(s):  
Video Surveillance ◽  
Transport Infrastructure ◽  
Laser Scanners ◽  
Surveillance Cameras

scholarly journals Vision based Patient Fall Detection using Deep Learning in Smart Hospitals

2019 ◽  
Vol 9 (2) ◽  
pp. 4826-4832
Keyword(s):  
Deep Learning ◽  
Video Surveillance ◽  
Fall Detection ◽  
Hospital Staff ◽  
Comparison Study ◽  
New Concepts ◽  
Surveillance Cameras ◽  
Time Fall ◽  
Smart Hospitals ◽  
Deep Learning Model

With the emergence of new concepts like smart hospitals, video surveillance cameras should be introduced in each room of the hospital for the purpose of safety and security. These surveillance cameras can also be used to provide assistance to patients and hospital staff. In particular, a real-time fall of a patient can be detected with the help of these cameras and accordingly, assistance can be provided to them. Different models have already been developed by researchers to detect a human fall using a camera. This paper proposes a vision based deep learning model to detect a human fall. Along with this model, two mathematical based models have also been proposed which uses pre-trained YOLO FCNN and Faster R-CNN architecture to detect the human fall. At the end of this paper, a comparison study has been done on these models to specify which method provides the most accurate results

Video Surveillance Cameras

2013 ◽  
pp. 47-64 ◽  
Author(s):  
Cédric Le Barz ◽  
Thierry Lamarque
Keyword(s):  
Video Surveillance ◽  
Surveillance Cameras

Security Dispositifs and Urban E-Planning

2013 ◽  
Vol 2 (4) ◽  
pp. 42-58 ◽  
Author(s):  
Rafael Barreto de Castro ◽  
Rosa Maria Leite Ribeiro Pedro
Keyword(s):  
Video Surveillance ◽  
Rio De Janeiro ◽  
Actor Network Theory ◽  
Research Strategy ◽  
The Body ◽  
Scientific Controversy ◽  
Urban Centers ◽  
Daily Lives ◽  
Body Of Knowledge ◽  
Surveillance Cameras

The main objective of this article is to make a psychosocial analysis of forms of government in their relations with video surveillance, especially regarding the effects produced in terms of subjectivity, a dimension of the use of technologies in city governance that urban e-planning ought not to ignore. This will contribute to the body of knowledge surrounding contemporary video surveillance in its current practices in Rio de Janeiro, and also help researchers to understand how existing policies that regulate this phenomenon are appropriated by people who live in this city. The presence of surveillance cameras as an element of everyday life in urban centers has dramatically increased in recent years. As important actants in the practice of government, these security dispositifs are articulating heterogeneous elements and “performing” very specific realities. However, particularly in Brazil, studies on video surveillance are still limited. Therefore, it is worth investigating which government performances in Brazil have been produced from the relationships established by surveillance cameras, and how those practices and knowledges are produced as effects of these same relationships. Likewise, by understanding that each subject responds differently to such actants, the authors intend to bring out the different versions that compose, specifically, this techno-scientific controversy and its resonances in the daily lives of common citizens. This article follows ideas proposed by Actor-Network Theory (ANT), especially the contributions of the sociologist Bruno Latour. As a research strategy, the authors proposed the creation of a cartography of the controversies about a particular urban video surveillance “collective” to be opened soon in the city of Rio de Janeiro - the ISCC (Integrated Security Command Center). Through mapping its associations, the authors look to increase the visibility of these issues of security dispositifs today and of the forms of government as they are performed and experienced at the scene in focus.

Comprehensive Performance Evaluation for Video Surveillance Cameras

2015 ◽  
Vol 52 (9) ◽  
pp. 091102
Author(s):  
卢树华 Lu Shuhua ◽  
黄鸿志 Huang Hongzhi ◽  
张鸿洲 Zhang Hongzhou ◽  
王丽辉 Wang Lihui ◽  
王照明 Wang Zhaoming ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Video Surveillance ◽  
Comprehensive Performance ◽  
Surveillance Cameras

Mouse predation affects breeding success of burrow-nesting petrels at sub-Antarctic Marion Island

2017 ◽  
Vol 30 (2) ◽  
pp. 93-104 ◽  
Author(s):  
Ben J. Dilley ◽  
Stefan Schoombie ◽  
Kim Stevens ◽  
Delia Davies ◽  
Vonica Perold ◽  
...  
Keyword(s):  
At Risk ◽  
Video Surveillance ◽  
Mus Musculus ◽  
Breeding Success ◽  
Felis Catus ◽  
House Mice ◽  
Marion Island ◽  
Feral Cats ◽  
Surveillance Cameras ◽  
Procellaria Aequinoctialis

AbstractWe report the breeding success of four species of burrow-nesting petrels at sub-Antarctic Marion Island where house miceMus musculusare the sole introduced mammal. Feral catsFelis catuswere present on Marion for four decades from 1949, killing millions of seabirds and greatly reducing petrel populations. Cats were eradicated by 1991, but petrel populations have shown only marginal recoveries. We hypothesize that mice are suppressing their recovery through depredation of petrel eggs and chicks. Breeding success for winter breeders (grey petrelsProcellaria cinerea(34±21%) and great-winged petrelsPterodroma macroptera(52±7%)) were lower than for summer breeders (blue petrelsHalobaena caerulea(61±6%) and white-chinned petrelsProcellaria aequinoctialis(59±6%)) and among winter breeders most chick fatalities were of small chicks up to 14 days old. We assessed the extent of mouse predation by monitoring the inside of 55 burrow chambers with video surveillance cameras (4024 film days from 2012–16) and recorded fatal attacks on grey (3/18 nests filmed, 17%) and great-winged petrel chicks (1/19, 5%). Our results show that burrow-nesting petrels are at risk from mouse predation, providing further motivation for the eradication of mice from Marion Island.

scholarly journals Cognitive system for analysis behavioral of dynamic objects of video surveillance

2021 ◽  
Vol 2131 (3) ◽  
pp. 032098
Author(s):  
D V Marshakov ◽  
D V Fathi
Keyword(s):  
Video Surveillance ◽  
Cognitive Modeling ◽  
Transport Infrastructure ◽  
Practical Significance ◽  
Traffic Density ◽  
Surveillance Systems ◽  
Technical Equipment ◽  
Observation Area ◽  
Intelligent Analysis ◽  
Network Technologies

Abstract The necessary measures to ensure the safety of technical structures, freight/passenger stations and other transport infrastructure facilities include continuous video monitoring with a comprehensive analysis of the scene. In conditions of high density of numerous objects continuously moving through the observation area, one of the main available signs of detecting anomalies in their behavior is their trajectory of the object. In this paper, we propose an approach to building a system for analyzing the behavior of dynamic video surveillance objects based on their tracking, implemented by means of cognitive modeling. The proposed procedures for intelligent analysis of the nature of movement of video surveillance objects are based on a combination of neural network technologies and the logical inference mechanism of the expert system, which expands the basic algorithms for technical equipment of video surveillance systems. The practical significance of the considered solutions is to increase the efficiency of detecting suspicious situations in conditions of high traffic density by conducting a parallel analysis of the movement of numerous objects of the scene, which entails the prevention of possible illegal actions in places of mass presence of people, including transport infrastructure facilities.

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