Wireless Video Surveillance System Research Articles

An IoT-Fuzzy-Based Jamming Detection and Recovery System in Wireless Video Surveillance System

Wireless video surveillance system is one of the cyber-physical security systems kinds, which transmits the signal of IP cameras through a wireless medium using a radio band. WVSSs are widely deployed with large systems for use in strategic places such as city centers, public transportation, public roads, airports, and play a significant role in critical infrastructure protection. WVSSs are vulnerable to jamming attacks creating an unwanted denial of service. Hence, it is essential to secure this system from jamming attacks. In this paper, three models of IoT-fuzzy inference system-based jamming detection system are proposed for detecting and countermeasure the presence of jamming by computing two jamming detection metrics; PDR and PLR, and based on the result, the system countermeasures this attack by storing the video feed locally in the subsystem nodes. FIS models are based on Mamdani, Tsukamoto, and Sugeno fuzzy logic which optimizes the jamming detection metrics for detecting the jamming attack. The efficiency of these proposed models is compared in detecting jamming signals. The experimental results show that the proposed Tsukamoto model detects jamming attacks with high accuracy and efficiency. Finally, the proposed IoT-Tsukamoto-based model was compared with the existing systems and proved to be superior to them in terms of central processing complexity, accuracy, and countermeasure for this attack.

An IoT-fuzzy based password checker system for wireless video surveillance system

Wireless video surveillance systems (WVSS) are deployed in large environments for use in strategic places such as town centers, public streets, and airports and play an essential role in protecting critical infrastructure. However, WVSSs are vulnerable to unauthorized access due to weak login credentials, which leads to their exploitation to launch cyberattacks on other systems, such as distributed denial-of-service attacks. Hence, it is essential to secure these systems from unauthorized access. This paper proposes the Mamdani fuzzy inference system (FIS)-based password checker algorithm to estimate the password strength ratio (PSR) of internet protocol (IP) cameras and internet of things (IoT) devices. This algorithm composes three stages, the password extraction stage, which evaluates the input parameters of FIS from the real-time streaming protocol (RTSP) protocol using a counter of password characters. Then, the processing stage uses Mamdani FIS to optimize the input parameters to calculate the PSR. Finally, the alarm stage will notify the system administrator about weak IoT nodes. Unlike the existing approaches, this algorithm improves detection accuracy by informing the system administrator about threatened nodes. Extensive experiments are carried out to determine the efficiency of the proposed algorithm. The results confirm the efficiency of the proposed algorithm with high accuracy, which outperforms existing schemes.

Construction of Wireless Sensor Network Video Surveillance System for Multimedia Classroom Education and Teaching under 5G Communication Network

Research on wireless sensor network video surveillance system is a hot field of media classroom education and teaching. Based on the 5G communication network theory, this paper constructs a wireless sensor network video monitoring system for multimedia classroom education and teaching, systematically analyzes the new distance education model under the condition of the integration of the two networks, and improves the interactive live classroom education model. For the classroom teaching mode, the model studies the isochronous transmission technology of data collection and video encoding and decoding, adopts hardware compression encoding, integrates key technologies such as reliable multicast and conditional access, and proposes the design of the system scheme, which solves the problem of multimedia classroom education and teaching digital issues. During the simulation process, the MATLAB software platform was used to study the effect of the number of 5G communication network nodes and node attributes (such as node position, node perception angle, instantaneous perception direction, or direction difference between neighboring nodes, node speed, etc.) on the target area or target point. The experimental results show that the performance of the joint optimization of transmission video quality and network lifetime performs well under multipath conditions. The total utility under multipath finally converges to 8.3, while the single path finally converges to 6.5, which further promotes the real-time performance of the multimedia network classroom teaching system.

Stochastic joint rate control and resource allocation for wireless video surveillance

Wireless video surveillance has become increasingly prevalent due to the rapid development of cellular communication technology and the low deployment cost of cellular surveillance cameras. However, it is still a challenging task to deliver high-quality low-latency surveillance videos in resource-limited cellular networks due to the fluctuating characteristics of wireless channels. In this paper, we consider a wireless video surveillance system consisting of one base station and multiple cellular surveillance cameras, which upload their videos to the base station. To optimize the long-term system performance in terms of surveillance video quality and latency, we formulate a stochastic optimization problem that jointly considers video rate control and uplink resource allocation. The formulation captures the tradeoff between video quality and delivery latency while considering the different time scales of video rate control and channel resource allocation. With the application of Lyapunov optimization, we transform the problem into a sequence of per-slot deterministic problems, and propose an online joint rate control and resource allocation algorithm to solve these per-slot problems. Specifically, the proposed algorithm decomposes each of the per-slot problems into two independent subproblems, namely, the rate control subproblem at large time scale and the uplink resource allocation subproblem at small time scale. We derive the closed-form solution for the rate control subproblem, and design a fast-convergent iterative algorithm to solve the uplink resource allocation subproblem optimally. We prove the asymptotical optimality of our proposed algorithm. Extensive simulation results validate our theoretical analysis and demonstrate that the proposed algorithm can well balance the surveillance video quality and delivery latency.

Optimization of Wireless Video Surveillance System for Smart Campus Based on Internet of Things

In order to strengthen school security and build a wireless smart campus, this article optimizes the existing wireless video surveillance system based on the Internet of Things. This paper first optimizes the surveillance quality in the video surveillance system, and proposes a zero-copy buffer strategy, a network congestion suppression strategy, and a codec rate coordination strategy. Secondly, for the distributed wide area video surveillance system, a tracking optimization method based on multi-camera fusion is proposed. Finally, this paper constructs a Bayesian monitoring event modeling method based on genetic algorithm. Experimental results show that the optimized video surveillance system has basically stable delay, significantly reduced packet loss rate, and smooth video playback. This method can effectively realize the coordinated tracking of multiple cameras in a wide-area monitoring scenario, achieve high tracking and monitoring performance, and meet the requirements of smart campus construction.

Research on the Wireless Video Surveillance System Based on Linux

With the new development of embedded technology, image compression and wireless transmission technology, wireless video surveillance system based on embedded system has become the tendency of development in the field of video surveillance. This paper combines the character of embedded system with wireless transmission technology, researches and designs a solution of wireless video surveillance system based on Linux. The embedded video surveillance system uses C/S framework. The server based on ARM11 and Linux is designed to process video image including capture, preview, compression and transmission. The PC as a client is built to receive, decode, display and setup the video.

Mesh IP Video Surveillance Systems Model Design and Performance Evaluation

This paper proposes a model for Internet Protocol (IP) mesh video surveillance systems and presents the performance evaluation of Ah-hoc On-demand Distance Vector (AODV) and Open Shortest Path First (OSPF) routing protocols in wireless mesh video surveillance system. A wireless mesh video surveillance network consists of IP cameras linked to mesh routers which are then linked to the mesh gateways. Local monitoring can be done by inserting a switch or router between the gateways and the Internet while remote monitoring can be done through the Internet. Routing provides selection, constructing and management of routes in order to maximize throughput and minimize video packet losses, end-to-end delays and Jitter. Results show that the OSPF routing protocol outperformed the AODV in throughput, packet loss, end-to- end delay and Jitter terms with a throughput advantage of 35%.

Internet of surveillance: a cloud supported large-scale wireless surveillance system

Large-scale video surveillance systems are among the necessities for securing our life these days. The high bandwidth demand and the large storage requirements are the main challenges in such systems. To face these challenges, the system can be deployed as a multi-tier framework that utilizes different technologies. In such a framework, technologies proposed under the umbrella of the Internet of Things (IoT) can play a significant rule in facing the challenges. In video surveillance, the cameras can be considered as "the things" that are streaming videos to a central processing and storage server (the cloud) through the Internet. Wireless technologies can be used to connect wireless cameras to the surveillance system more conveniently than wired cameras. Unfortunately, wireless communication in general tend to have limited bandwidth that needs careful management to achieve scalability. In this paper, we design and evaluate a reliable IoT-based wireless video surveillance system that provides an optimal bandwidth distribution and allocation to minimize the overall surveillance video distortion. We evaluate our system using NS-3 simulation. The results show that the proposed framework fully utilizes the available cloud bandwidth budget and achieves high scalability.

Измерение амплитудной диаграммы направленности и частотной характеристики антенн ISM-диапазона с помощью WiFi-маршрутизаторов

The quality of wireless network depends essentially on the directional characteristics of the antennas, the most important of which are the amplitude radiation pattern (RP) and the frequency response (FR), which is understood as a change of the gain coefficient in the working frequency band. At the same time, equipment for measuring the characteristics of the antennas in real conditions is very expensive, difficult to deploy, configure and maintain. In most cases, the measurement accuracy requirements are significantly lower than in laboratory measurements. This fact allows using the equipment which is part of the wireless network itself. The aim of this work is to develop a simplified procedure for measuring the amplitude RP and frequency characteristics of antennas for the rapid assessment of electromagnetic environment during deployment of wireless networks, when the requirements for measurement accuracy are not critical. In this article we propose to use as a UHF calibrated power generator a standard Wi-Fi router with a coaxial output, i.e. with the possibility to connect an external antenna. Certified routers 802.11n standard of 2.4 GHz band, regardless of the manufacturer, provide the following parameters: output power range of 20—100 mW, receiver sensitivity of 80—85 dBm, dynamic range of the receiver — 90 dBm. Using system settings of the router allows one to rapidly change the frequency in the range of 2400—2483,5 MHz with a step of 5—20 MHz. The practical value of the proposed methodology for measuring Wi-Fi antennas characteristics consists in substantial saving of time and costs during deployment and adjusting of wireless networks. This method can be successfully used for testing city wireless video surveillance systems and public access points to the local and global resources of city network.

An Image Sequence Transmission Method in Wireless Video Surveillance Systems

Under unpredictable wireless communication environments such as a battlefield, uncompressed video data is easy to restore and more effective to decipher than compressed video data when there are lots of errors in the received data. This paper proposes a wireless uncompressed video transmission system to ensure image quality even under a low signal to noise ratio (SNR). It utilizes a method of transmitting data asymmetrically on the basis of the image information in the wireless communication system using multiple antennas. The proposed algorithm is applied to the IEEE 802.11ac system and can improve about 5dB in terms of the peak signal to noise ratio under the SNR environment of 10 dB or less compared to an existing algorithm. From the simulation results, the proposed method is very suitable for wireless video surveillance systems that should provide video streams with a certain level of quality even under severe conditions.

Design and Implementation of the Evidence Obtaining Front-End of Vehicle-Mounted Video Surveillance System<i> </i>

Wireless video surveillance command system is widely used in the public security, transportation, water conservancy, urban management, electrical repair, emergency response projects and other industries. Vehicle-mounted wireless video surveillance system can promptly return the scene to command center using wireless networks. So it is easy for remote visualization, command and control. And it will greatly shorten the reaction time of the accident processing and enhance emergency response capabilities. Mobile evidence obtaining front-end is the most important part of the wireless video surveillance command system. The performance of front-end equipment determines the efficiency of the whole system. So the mobile evidence obtaining front-end is a system design difficult. The following is about the design and implementation of the mobile evidence obtaining front-end of the wireless video surveillance system.

A Survey on Low-Complexity Video Coding Methods and Architectures

Traditional video coding methods are able to achieve wonderful performance improvements in data compression. However, these methods have high computational complexity and hardware resource consumption, which are not suitable for some applications, such as wireless multi-media sensor network (WMSN) where low complexity video coding (LCVC) methods are modern technologies. In this survey, some typical LCVC methods are explored, including the cropping and improving of the traditional video encoder, Distributed Video Coding (DVC), Compressive Sensing (CS) video encoder, Underdetermined Blind Signal Separation (UBSS) and Two-Dimensional Singular Value Decomposition (2-D SVD) based video encoder. These technologies could obtain better trade-off between high compression ratio and well reconstructed video quality with lower encoding complexity. Moreover, some known architectures of the mentioned LCVC methods are analyzed, as well as the brief performance analysis and comparison. Finally, some applications of low complexity video coding are described, such as wireless video surveillance system and mobile video equipment. Keywords: Applications, compressive sensing, distributed video coding, low complexity, modification of traditional video coding methods, underdetermined blind signal separation, video coding, 2-D singular value decomposition.

Study on the Application of Video Surveillance System of Expressway Construction Based on 3G

Safety and quality supervision is an important part of expressway construction, the traditional regulation mode relies on artificial which exists objectivity and poor oversight, poor technical means and other issues, which brought a significant security risks to the project quality and safety. In this paper, based on the analysis of the existing video surveillance system, We explored the application of 3G technology in video surveillance system in the expressway construction. First of all, Composition and principle of the system are discussed in this paper. Secondly, the platform constitute of wireless video surveillance system is analyzed in detail, Finally, We summarized the application advantages of 3G technology in the expressway construction ,which is of great significance to enhance Expressway construction management.

Design of Wireless Video Surveillance System

Wireless video surveillance is of increasing importance. Many wireless video surveillance systems require a well optimized video codec for low-power operations. Compression of the captured video is normally needed in order to reduce the amount of video data to be delivered as well as to increase the video storage capability of the surveillance system. In this paper, a method which can greatly reduce the complexity for one of the most time-consuming parts in a video encoder was proposed.

Wireless Video Surveillance: A Survey

A wireless video surveillance system consists of three major components: 1) the video capture and preprocessing; 2) the video compression and transmission in wireless sensor networks; and 3) the video analysis at the receiving end. A myriad of research works have been dedicated to this field due to its increasing popularity in surveillance applications. This survey provides a comprehensive overview of existing state-of-the-art technologies developed for wireless video surveillance, based on the in-depth analysis of the requirements and challenges in current systems. Specifically, the physical network infrastructure for video transmission over wireless channel is analyzed. The representative technologies for video capture and preliminary vision tasks are summarized. For video compression and transmission over the wireless networks, the ultimate goal is to maximize the received video quality under the resource limitation. This is also the main focus of this survey. We classify different schemes into categories including unequal error protection, error resilience, scalable video coding, distributed video coding, and cross-layer control. Cross-layer control proves to be a desirable measure for system-level optimal resource allocation. At the receiver's end, the received video is further processed for higher-level vision tasks, and the security and privacy issues in surveillance applications are also discussed.

Hardware design and signal integrity simulation of embedded 3G wireless video surveillance system

A solution of embedded 3G wireless video surveillance system based on DaVinci platform was proposed, which took full advantage of the high-bandwidth of WCDMA network and could realize two-way video surveillance in parallel. The hardware design was discussed in depth and various functional modules were designed. The simulation analysis of hardware PCB design was made by use of Hyperlynx software and IBIS models. The Signal Integrity ( SI) problems, which usually appeared in DDR2 interface circuit such as reflection and crosstalk, were resolved effectively. And the quality and speed during high-speed circuit PCB design were fully guaranteed. Compared to the traditional wired video surveillance, this solution is more flexible and can be used more widely.

Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks

Real-time multiuser multimedia applications, such as surveillance or monitoring using multiple cameras, have recently started to be deployed over flexible and low-cost multihop wireless networks. In such multimedia systems, the various sources (cameras) share the limited network resources and collaboratively forward the captured video streams to a remote central monitor. However, existing resource allocation schemes often ignore the dynamic application-layer video and network characteristics by focusing on the steady-state or worst-case operating conditions. This may result in inefficient allocation of the network resources. In this paper, we focus on determining whether the resource allocation for wireless video surveillance systems should be performed based on steady-state or worst-case operating conditions, or whether perpetual adaptation to the dynamically changing source and network conditions is desirable. We analyze three different types of solutions that have different information requirements: a centralized optimization approach, a decentralized game-theoretic approach (which guarantees a stable allocation), and a distributed greedy approach (which perpetually adapts allocation based on the local information exchanged among the neighboring nodes). We compare these three approaches using the following four metrics: 1) the total video quality; 2) the computational complexity; 3) the required control information overhead; and 4) the timely adaptation to the network and source variation. We show that in a static network, the game theoretic resource allocation is only better than the distributed greedy approach when the network transmission rates are high. In a dynamic network, the distributed greedy approach can outperform the other two approaches significantly in terms of video quality (peak signal-to-noise ratio). This shows that resource allocation solutions for multicamera wireless surveillance networks need to explicitly consider both the dynamic source characteristics and network conditions, rather than always relying on stable, but predetermined, allocations.

JPEG2000 and MJPEG2000 transmission in 802.11 wireless local area networks

In this paper the transmission of JPEG2000 and motion JPEG2000 codestream in 802.11 WLAN environment is analyzed. The issues related to the transmission of JPEG2000, using non-reliable protocols as UDP-RTP, are investigated and a proper protection scheme for dealing with such an environment is presented, along with the obtained performance with different systems parameters. The proposed technique addresses a wide range of multimedia applications such as wireless PC to digital projector multimedia presentations, point to multipoint digital slide projection, wireless video-surveillance systems.