Development Of Video Surveillance Systems Research Articles

Shaping «Digital Circuit»: Possible Consequences for Modern Legal Systems

The paper presents a theoretical and legal analysis of the processes that result in bringing individuals, legal entities and society as a whole to the «digital circuit», that is, a special environment for communication between subjects and management of their behavior through algorithmic systems of processing and analyzing data thereof. The main directions of building a system for regulating the behavior of individuals through the analysis and processing of personal data are noted. The integration of various state databases with information about subjects within the framework of e-government projects, the development of video surveillance systems and automated analysis of video events, control over the digital traces of an individual on the Internet. Digital profiling of individuals and organizations based on the data collected about them allows government agencies to implement a policy of admission and restrictions, conditioning access to public services and private services on the content and quality of biographical (reputational) information about the subject in the relevant databases. To a certain extent, the developing regulatory system echoes the ideas of Confucianism. A hierarchical (ranked) society is formed instead of the principle of equality of subjects before the law and the court; the boundaries of freedom of its members are determined not by the law, but by their reputation, that is, data in relevant sources; the legal behavior of subjects is ritualized, becomes more the result of habit and conformity than conscious choice; law merges with social ethics. These transformations mean an irreversible change in the very foundations of Western-type legal systems. The author presents a probabilistic forecast of the development of legal systems following the identified trends, and proposes a possible explanation of these transformations.

Implementation of video surveillance system using embedded Blackfin processor

<p class="NormalLinespacing15lines">The video surveillance is critical system to track the people at the various places and to track and monitor the nuciencess bound to be happened. On the other side several studies have proved and showed the hit and miss nature of human intervention to spot change in a surrounding environment which increasing the designer challenges for the development of video surveillance system with the help of embedded processor. The designer faces a greater challenge to apply the principle of embedded systems and develop the system smart features with low power and cost for the required applications of VSS. System requirement specification (SRS), Hardware design document (HDD), Software design document and test procedure has been arrived and developed to achieve VSS system. Blackfin processor has high end video engines and is more suitable for development of video surveillance system (VSS). The VSS is designed and developed using ADSP BF533 Ez-kit lite board. Peripheral like parallel peripheral interface (PPI) is used to interface between camera and processor. Also, it is used for interfacing processor and TV. The master-slave communication is established between two Blackfin processors through SPORT to transfer the captured frame from camera to display on TV. Power management is also implemented to save the power of the system.</p>

Human Detection by Surveillance Camera

Security problems and decreasing costs, leads to the rapid development of video surveillance systems. It is necessary to implement analytical tools capable of identifying objects that may appear in the video sequence. The work presented in this article consists of designing a video surveillance system for the automatic detection of humans in a video sequence acquired by a fixed camera. The principle of this work is based on the modeling and subtraction of the background. In order to determine the nature of the objects, the authors make the detection of the contours of the foreground image, then by matching this contour with the images of a base, silhouette images of people in different positions. The acquisition of the frames is carried out in real time, the matching of the images takes a considerable time and this time becomes increasingly longer based on the size of the base. To solve this problem, the authors have used the parallelism.

МЕТОД ДЕТЕКТУВАННЯ РУХУ ДЛЯ НЕСТАТИЧНИХ КАМЕР АБО ДЛЯ КАМЕР З ФУНКЦІЄЮ PTZ

Urgency of the research. Modern trends in the development of video surveillance systems focus on the creation of automatic functional complexes with intelligence. Detection of the areas of motion in a frame is a fundamental problem of these systems. Therefore, there is a need to create software that detects areas of motion in the frame.Target setting. By developing such systems, developers have to solve the contradiction between the computational complexity of processing algorithms, the quality of images created and the hardware capabilities of modern computing. The multidimensional nature of video information (coordinates, color) imposes significant limitations on the speed and quality of its processing. In addition, motion detection on mobile cameras is complicated due to constant background change.Actual scientific researches and issues analysis. The latest open access publications, including optical streaming technology and the SURF algorithm, were considered.Uninvestigated parts of general matters defining. Increasing the speed of existing methods of detecting traffic zones on the video of low quality.The research objective. Improvement of the method of detecting motion using non-static cameras or cameras with PTZ function in the direction of accelerating its operation.The statement of basic materials. Detection zone of motion in the scene comes with standard libraries openCV. To determine the zone of motion, a pair of sequential frames are used: the previous one - the object, the current one - the scene. Forming contours of objects occurs by constructing the corresponding histograms.Conclusions. The proposed method allows twice accelerating the process of detecting traffic zones by the given video of non-static cameras.

On a Distributed Video Surveillance System to Track Persons in Camera Networks

In automated video surveillance applications, presenting the useful information to the human operators is a challenging task. Current systems usually require a prohibitive amount of human resources and lead to a quick decrease of the attention of the human operators through time, thus preventing them to catch the relevant events that may be worth to further investigate. In addition, when monitoring a wide area, it becomes hard to deploy a network of video sensors such that there are enough overlapping FoVs to cover every point of the environment. This leads to the development of video surveillance systems (VSS) that provide partial area coverage. As a result, “blind-gaps” between camera FoVs are introduced. One of the most interesting problems which such “blind-gaps” bring in is to re-identify the persons moving across disjoint FoVs.The contribution of the thesis is two-fold. First, an advanced VSS is designed to display the proper taskdependent information to operators that are monitoring a wide area. In particular, the system helps operators in the task of tracking persons across camera views. This raised the need for a system capable of re-identify the subjects moving through disjoint FoVs. This leads to the second contribution of the thesis, a distributed approach to address the challenges of the person re-identification problem.

A Load Balancing Mechanism for Video Surveillance System

In recent years, with the development of video surveillance systems, the cluster and load balancing technology need be applied to improve the system performance and the quality of service. In this paper, on the basis of common load balancing algorithms, considering the characteristics of the video surveillance system, design a new load balancing scheduling mechanism, by improving the weighted round robin algorithm and introducing the nodes cooperation strategy. The testing results show that the new mechanism can distribute the loads more reasonably and make use of the server resources more effectively.

An Intelligent Video Surveillance System for Android Smart Phone

Video surveillance technology is playing an important role, and it is widely used in some fields. With the popularity of Android OS, it draws researchers attention to increase the development of video surveillance systems on the platform. This paper presents a smart real-time video surveillance system based on Android smart phone. This system detects moving object by using improved GMM (Gaussian Mixture Mode) algorithm, recognizes invading human with cascade classifier, processes image data with coder & decoder, transmits data over RTP (Real-time Transport Protocol). It also applies some methods to improve the accuracy of moving object detection and recognition, speed up recognition process. The experimental evidences show that it can realize real-time video surveillance and smart alarm.

Application and Development of the Embedded System on Linux

This paper first analyzes the application area and development of video surveillance system. It analyzes the development trend of current video surveillance system,which is a gradual transition from underdeveloped digital analog hybrid application into digital system . Next, it introduces the development platform of embedded system on Linux. It first expounds what is embedded system. Next it introduces selection processes of hardware platform processor and software operating system from the point of view of hardware and soft ware respectively. In the end,it puts forward a overall design scheme of digital video surveillance system on the basis of combining embedded hardware platform. This scheme basically involves two aspects:the first is the design of the interface between front-end equipment and center platform and the processes of all interfaces basecd on HTTP+XML protocol.