Mobile Video Surveillance System Research Articles

VIDEO SURVEILLANCE ON THE DRILLING RIG

The article describes a mobile video surveillance system on a drilling rig, which is designed to carry out technological control in high-risk areas at oil and gas producing enterprises. The advantages of this complex, circuit design solutions and functional properties of the device are presented. The field kit is installed directly at the facility in the hazardous area that needs to be monitored. The Polar Eye video surveillance system is designed to meet a number of industrial safety requirements at oil and gas production facilities. Video information from the danger zone is transmitted using the BSPD system, operating in the unlicensed 2.4 GHz frequency range, to the safe zone, where the analytical center for visual and operational control is located.The most important competitive advantages of the complex – low weight, compactness and mobility – were achieved by developing their own layout and circuit design solutions and by implementing most of the nodes on printed circuit boards of their own production.

Retracted: Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology

Retracted: Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology

Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology

With the gradual development of information technology, the idea of combining mobile robot and wireless remote control technology is adopted to build a wireless network platform between a computer and robot. At present, there are conditions to realize this idea. In this idea, the wireless data transmission can be realized on the platform. Users can remotely control and access the monitoring system of the computer room and set up alarm systems and detectors, so as to monitor the working conditions of the robot at the computer terminal, truly realize the man-machine coordination, and ensure that the robot can complete the specified tasks well in various complex environments. This research first deeply analyzes the current development status and existing problems of the information room monitoring technology and then puts forward the mobile video monitoring system architecture of the information room based on the intelligent robot monitoring technology. The system architecture integrates computer technology, network technology, and control technology. With the continuous updating of technology, video surveillance has also entered the mobile era. Combined with the timely monitoring video acquisition system of mobile robots, it solves the current working environment for many industries and enterprises. Using robot chassis technology, it designs the corresponding bottom hardware control and upper equipment to achieve data acquisition with related equipment. The mobile video surveillance system solves the problems encountered by the traditional video surveillance system and can monitor video images through remote operation and centrally monitors the operation status of the equipment in the room and the environmental status of the room, which is more conducive to improving the management efficiency. It provides a new idea to ensure the safe and stable operation of various equipment and systems in various places.

Метод реконструкції відеозображень для підвищення ефективності доставки в інфокомунікаційних системах аеросегменту

Today, the main tool of effective management at both the local, regional, and state levels is the availability of appropriate information support. This especially applies to the security and defense sector, where the availability of the necessary information support is the main requirement for the effective response of departmental bodies (relevant law enforcement agencies) to crisis situations arising both in society and the state as a whole. In connection with this, the role of video information support as a means for prompt decision-making is significantly increased. This is due to the fact that the key principles of the implementation of video information provision are timeliness (operational) and reliability. For this purpose, stationary and mobile photo and video surveillance systems are quite actively used. The use of the latter is closely related to the aviation segment — unmanned aerial vehicles and complexes, the role of which is increased by the presence of such properties as scale and mobility. However, at the same time, the following problematic factors arise related to the use of wireless communication technologies for data delivery to the final addressee: an imbalance between the ever-increasing volumes of data and the bandwidth of data transmission channels; the influence of obstacles arising in the process of video data delivery on the level of reliability of the reconstructed video image. It should be noted that the use of existing methods of interference-resistant coding to solve the above-mentioned problems leads to a significant increase in the volume of video data, which is critical in the conditions of using wireless communication technologies — video is an information resource transmitted with significant time delays. For this purpose, a method of video data reconstruction is being developed based on the use of identifiers (markers) of uneven code structures assigned to the elements of clusters formed as a result of the restructuring of the information space by structural feature. A distinctive feature of the developed method is the independent decompositional statistical decoding of individual code subsets according to structural features. This ensures, due to the use of additional service information, the localization of errors in the process of data reconstruction of the video information resource. A distinctive feature of the developed method is the independent decompositional statistical decoding of individual code subsets according to structural features. This ensures, due to the use of additional service information, the localization of errors in the process of data reconstruction of the video information resource. A distinctive feature of the developed method is the independent decompositional statistical decoding of individual code subsets according to structural features. This ensures, due to the use of additional service information, the localization of errors in the process of data reconstruction of the video information resource.

An Encryption Method for Mobile Video Surveillance System based on ZUC Algorithm

With the development of society, the advancement of science and technology, and the improvement of the quality of life, more and more attention has been paid on the security issue. Mobile video surveillance system has become an important monitoring approach, and information security is an important issue in this research. Therefore, the research on the encryption of mobile video surveillance system is particularly important. In recent years, great progress has been made in the study of cryptographic algorithms in our country. Among them, ZUC algorithm is a very suitable algorithm for video image encryption and decryption. This paper analyzes the ZUC algorithm, combined with mobile video compression encoding and decoding technology H.264, and gives a mobile video surveillance system based on ZUC algorithm encryption scheme.

Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos.

With the explosion in the use of cameras in mobile phones or video surveillance systems, it is impossible to transmit a large amount of videos captured from a wide area into a cloud for big data analysis and retrieval. Instead, a feasible solution is to extract and compress features from videos and then transmit the compact features to the cloud. Meanwhile, many recent studies also indicate that the features extracted from the deep convolutional neural networks will lead to high performance for various analysis and recognition tasks. However, how to compress video deep features meanwhile maintaining the analysis or retrieval performance still remains open. To address this problem, we propose a high-efficiency deep feature coding (DFC) framework in this paper. In the DFC framework, we define three types of features in a group-of-features (GOFs) according to their coding modes (i.e., I-feature, P-feature, and S-feature). We then design two prediction structures for these features in a GOF, including a sequential prediction structure and an adaptive prediction structure. Similar to video coding, it is important for P-feature residual coding optimization to make a tradeoff between feature bitrate and analysis/retrieval performance when encoding residuals. To do so, we propose a rate-performance-loss optimization model. To evaluate various feature coding methods for large-scale video retrieval, we construct a video feature coding data set, called VFC-1M, which consists of uncompressed videos from different scenarios captured from real-world surveillance cameras, with totally 1M visual objects. Extensive experiments show that the proposed DFC can significantly reduce the bitrate of deep features in the videos while maintaining the retrieval accuracy.

Design and Implementation of Mobile Video Surveillance System based on V4L2

Embedded technology, mobile streaming media technology, and Linux device driver technology have become a hot topic in the video surveillance field. In this paper, we designed a mobile video monitoring system on the basis of Android platform, accomplishing a camera device driver program, which complies with v4l2 standard on Linux kernel. The system consists of capture terminal, server and client. The capture terminal is used for video acquisition, video coding and transmission. The client connects the capture terminal through the mobile network by mobile telephone, pad and so on. We complete the tests of the capture and system function by building an experiment. It turns out that the monitoring function can be fulfilled by the mobile video surveillance system.

Intelligent Mobile Video Surveillance System as a Bayesian Coalition Game in Vehicular Sensor Networks: Learning Automata Approach

In a mobile video surveillance system (MVSS), an efficient approach is required, so that captured video can be transmitted to its final destination under tight constraints of delay and accuracy. This paper presents a new intelligent MVSS using the concepts of Bayesian coalition game and learning automata (LA). These LA are assumed to be the players in a game and are deployed on vehicles. Coalition among players is formed using the Bayesian Coalition Game Theory. To decrease the delay that occurred during transmission of captured video to the nearest access points, the best path is chosen based on a new metric called Path Score, which is computed by each player in the game. For each action performed by the automata, their actions may be rewarded or penalized by a value, which is defined as a sequence, with respect to the inputs provided from the stochastic environment. According to the reward or penalty received from the environment, the automata update their action probability vector. After 15 iterations, a Nash equilibrium is achieved in the game by defining a twice-differentiable function in Banach spaces, and convergence of sequence is proved using the Cauchy convergence theorem. The performance of the proposed scheme is found to be better in comparison to the other state-of-the-art schemes, with respect to various performance evaluation metrics.

Application Research of Intelligent Monitoring System Based on Abnormal Events

In order to meet the needs of the construction information industry base, enhance their ability to serve the community, and improve scientific research projects of market-oriented level, then develop family-oriented and school-based intelligent monitoring software system, the development of new products in the smart camera and mobile video surveillance and development of new technologies are developed. It is considered that the electronic information industry needs to develop intelligent monitoring technology industry, the video compression technology and the use of mobile and existing wireless networks are made, such as efforts are used to complete the smart cameras and mobile video surveillance system development, so the development of application research has implemented the front of video surveillance intelligence information collection, transmission of video signals in real time, real-time wireless video signal transmission and other tasks.

Android-based Vehicular Distributed Intelligent Video Collection System

In order to overcome disadvantages of traditional single machine mobile video surveillance and intelligence gathering system, such as higher technical complexity, more expensive, and more slowly, a new android-based vehicular distributed intelligent video collection system is integrated by GPS, photograph, camera, network communication, 3G, IPC, H.264 encoder/decoder, wireless communication and other electronic technologies, software technologies, and smart mobile devices. Requirements, construction, control, architecture, design and runtime procedure of this new system is introduced then. Testing at last shows high performance and advantages of this new system. Great scientific research value, market prospects, and further research directions are summary in conclusions

The Analysis and Review of Mobile Surveillance Video Based on AVS-S

In order to realize digitizing and networking video surveillance, a kind of excellent technology of video compression is need. In this paper, the audio video coding standard based on AVS-S was systematically introduced, including its development history, target requirements, technical features and existing algorithms. All possible facing problems when AVS-S is applied in mobile video surveillance systems were analyzed. The corresponding solutions were also provided. Especially, how to use intelligent video technology to satisfy with even higher security-monitoring targets was discussed.