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

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.

Author(s):  
L. Badia ◽  
A. Erta ◽  
U. Malesci

Traditional analog video surveillance systems technology has recently become inadequate to face the massive demand of security systems consisting of hundreds and sometimes thousands of cameras often deployed in hostile environments miles away from the control room. During the last few years, the rapid growth of the digital technology has produced sophisticated cameras which can directly record highdefinition digital videos. The packetized video stream can be straightforwardly conveyed to the control room, relaying on common IP network infrastructures. This solution result is extremely flexible as the network infrastructure can be built over a wide variety of heterogeneous network technologies from the traditional Ethernet-based Local Area Networks (LANs) to the recently proposed Wireless Mesh Networks (WMNs). However, the widespread adoption of IP-based solutions for video surveillance poses serious problems in terms of required bandwidth, processing power, network security, and system dependability. In this chapter, we first investigate the advantages of the IP-based video surveillance systems over the traditional analog ones. Then, we describe the technical challenges and the open research issues which still lack an ultimate solution which permits to completely abandon the traditional analog technology. Finally, we propose and verify, by means of a case study, a methodology to address the design of video surveillance systems in real deployment.


2020 ◽  
Vol 77 (2) ◽  
pp. 86-92
Author(s):  
В. А. Коршенко ◽  
В. В. Чумак ◽  
М. В. Мордвинцев ◽  
Д. В. Пашнєв

Search for criminals becomes more difficult in modern conditions of continuous growth of the population of big urban centers and more and more frequent use of the latest achievements of science and technology by criminals for the realization of their purposes and for counteraction to law enforcement agencies. To increase the efficiency of the search for offenders it is necessary to introduce the latest technologies. Therefore, the systems of video recording and video surveillance, which currently operate in Ukraine and are one of the areas of using these technologies, have been studied. It has been noted that the installed CCTV cameras mostly work in manual mode. The employee of the information processing center must watch the video in order to gather evidence and search for suspects. It takes a lot of time and requires the involvement of a large number of staff, which makes the search for criminals and obtaining evidence from video surveillance systems ineffective. Tendencies in the development of intelligent video surveillance systems in developed countries have been analyzed. It has been found out that such countries (EU, USA, China, Russia) install modern “smart” CCTV cameras, the information from which is sent to modern situational centers, where it is processed by using artificial intelligence, neural networks and cloud infrastructure. Certain types of cameras even have the ability to independently process the received information. This makes it possible to perform biometric facial recognition, to detect behavioral abnormalities of suspects who intend to commit offenses; to record the appearance and disappearance of objects, to recognize the state car plates, to recognize their type, brand and color, to record the way of their movement, to carry out the analysis of these factors on the basis of these factors to search for suspects and cars in the city. Video surveillance centers, in particular within one of the most important areas of public safety – traffic safety – have the ability to recognize prohibited or atypical traffic, to capture the intersection of the restricted area or the intersection of the visual line, to respond to the passage of people in a given direction, to identify traffic conditions, to detect traffic density, congestion and mass congestion of vehicles, to respond to the appearance of people in the surveillance zone, etc. Based on the review of the experience of introduction and use of video surveillance systems in Ukraine and analysis of their development in developed countries, the authors have suggested the ways to modernize and further develop security systems in Ukraine by using CCTV cameras.


Author(s):  
V. Lymarenko

Trends in technology lead to an increasing of their role in the development of humanity. Exactly “cloud technologies”, which are the basis for the technological development of the information society now, also they play the role of the leading tool of informatization of education, especially united with “edutainment”.During the development and implementation of software and network technologies in professional artistic education, the following issues remain unsolved: the provision of modern computer equipment and software, technical support for the stable work of information products, and the provision of selective authorized access for students to specific network resources. The methodology based on “cloud calculates” technology provides an opportunity to overcome these difficulties. And the last, but not at least, students may be attracted to the most promising areas of the development of modern information products.Actuality, practical significance, and insufficient development of these problems caused the choice of the topic of our research: “Terms of use of “edutainment” and “cloud technologies” in professional artistic education “.The aim of the research is to determine the conditions of the use of “edutainment” and “cloud technologies” in the preparation of future teachers of musical art.Methods of research: analysis of psychological and pedagogical literature in order to determine the state of development of the problem; synthesis, comparison, generalization for justifying the concepts of “edutainment” and “cloud technologies” and methods of their use in the educational process.This article deals with issues of the use of edutainment technologies and “cloud technologies”. It is offered conditions of using edutainment and “cloud technologies” in post-nonclassical professional art education on the example of subject “Musical Art”. Actual “cloud” services are analyzed and examples of their integration to educational process of professional art establishments are proposed.


Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4419
Author(s):  
Hao Li ◽  
Tianhao Xiezhang ◽  
Cheng Yang ◽  
Lianbing Deng ◽  
Peng Yi

In the construction process of smart cities, more and more video surveillance systems have been deployed for traffic, office buildings, shopping malls, and families. Thus, the security of video surveillance systems has attracted more attention. At present, many researchers focus on how to select the region of interest (RoI) accurately and then realize privacy protection in videos by selective encryption. However, relatively few researchers focus on building a security framework by analyzing the security of a video surveillance system from the system and data life cycle. By analyzing the surveillance video protection and the attack surface of a video surveillance system in a smart city, we constructed a secure surveillance framework in this manuscript. In the secure framework, a secure video surveillance model is proposed, and a secure authentication protocol that can resist man-in-the-middle attacks (MITM) and replay attacks is implemented. For the management of the video encryption key, we introduced the Chinese remainder theorem (CRT) on the basis of group key management to provide an efficient and secure key update. In addition, we built a decryption suite based on transparent encryption to ensure the security of the decryption environment. The security analysis proved that our system can guarantee the forward and backward security of the key update. In the experiment environment, the average decryption speed of our system can reach 91.47 Mb/s, which can meet the real-time requirement of practical applications.


2021 ◽  
Vol 54 ◽  
pp. 775-782
Author(s):  
Dmitry Gura ◽  
Ivan Markovskii ◽  
Nafset Khusht ◽  
Irina Rak ◽  
Saida Pshidatok

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