Digital Video Surveillance System Research Articles

Computer Digital Technology Combined with Dynamic Visual Communication Sensors in Target Tracking with Big Data

The detection algorithm is explored to improve the dynamic visual sensors (DVS) combined with computer digital technology, build a DVS network, and complete the monitoring and tracking of the target. Ultimately, the problem that needs to be solved is the poor quality of traditional communication sensor data transmission, which needs to be improved by DVS. Firstly, the structure and function of the network are described through dynamic visual perception requirements analysis. Secondly, by introducing a target tracking algorithm that combines event flow and grayscale images, two methods are proposed, namely, the event flow noise reduction method based on event density and the optical flow detection feature tracking algorithm. Finally, through experiments, the tracking and detection effect of the optical flow detection algorithm on the target object in the dark environment is verified in the high-speed motion scene and the reflection environment. The results show that the average error of target object detection and tracking is 3.2 pixels in a dark environment. The average error of target tracking in high-speed motion scenes and reflective environments is 4.86 pixels and 2.88 pixels, respectively. This research has practical reference value for the digital and intelligent development of digital video surveillance systems.

Observer determination of the make, model, and year of questioned vehicles.

Often, criminal acts involving a vehicle are caught on digital video surveillance systems. While potentially useful for an investigation, the recording conditions are typically less than optimal for the extraction of key information for the identification of the perpetrator, such as a license plate. Providing the make, model and year of a questioned vehicle is a common request for examiners, to narrow the field of potential suspect vehicles. This study seeks to compare the performance of a nonpeer-reviewed make, model, and year determination between two separate groups, specifically, trained forensic image examiners and nontrained individuals. Results show that even with varied image capture conditions and quality, the trained forensic image examiners more correctly and completely identified the test group of questioned vehicles make, model, and year.

Football Player Posture Detection Method Combining Foreground Detection and Neural Networks

In recent years, with the rapid development of artificial intelligence, information technology, intelligent digital video surveillance systems, real-time sports competition playback, and other technologies have emerged one after another, making the advantages of deep learning-based football posture detection tasks become more obvious. Related models and methods have been applied to the research field of sports posture estimation and have achieved great improvement, surpassing the traditional football posture estimation method based on manual design features in one fell swoop. In addition, the application of video foreground detection has developed rapidly and has great application value in sports analysis. Therefore, this paper proposes a novel football motion detection approach combining foreground detection and deep learning for real-time detection of football player posture. The main task of foreground target detection is to extract the interesting foreground target in the real monitoring scene and use it as the target of interest for subsequent analysis. Then, we propose a triple DetectNet detection framework based on deep learning technology, which can quickly and robustly realize the three-dimensional pose estimation of multiperson motion. For input, the triple DetectNet framework uses three neural networks and is executed in three stages; the first stage is to use the DetectNet (DN) network to detect the bounding box of each person separately, the second stage uses the 2DPoseNet (2DPN) network to estimate each of the corresponding two-dimensional poses of the individual, and the third stage uses the 3DPoseNet (3DPN) network to obtain the 3D pose of the person. This paper also conducted experiments on four datasets, and the results proved the superiority and success of this algorithm.

The Suitability of Digital Video Surveillance and Multi-beam Sonar to Monitor Saltwater Crocodiles

Despite intensive management, the increasing conflict between humans and saltwater crocodiles in places such as Queensland, Australia, has led to the investigation of alternative techniques to improve public safety. The reliability of digital video surveillance systems (DV) placed above water and multi-beam sonar (sonar) placed under water to detect and monitor saltwater crocodiles was tested in a seminatural freshwater environment over a 2 h period (16:00–18:00 h). A total of 29 crocodiles were detected within the study area using DV, and 28 with sonar. One was obscured by a section of bank, and thus not visible on sonar. Of the 28 crocodiles detected by both methods, sonar recorded both entry and exit for all, while DV recorded both entry and exit for 15 crocodiles. The length of time that crocodiles were detected was longer on average for sonar (4 min 27 s) compared with DV (2 min 50 s). This reflected the time spent above (detected by sonar and DV) or below water (not detected by DV), as only sonar was able to detect crocodiles underwater. The use of sonar may provide a valuable management tool for detecting and monitoring saltwater crocodiles in areas frequented by people (e.g. beaches, boat ramps, upper freshwater areas) where there is a high chance of a negative interaction.

Upgrading and Reforming for CCTV System of Offshore Drilling Platform

In order to realize real-time video monitoring of key parts and high-risk operation areas of Kan Tan IV semi-submersible offshore drilling platform, and reduce the intensity of daily patrol work and improve work efficiency, the networking method of video surveillance system is discussed. The analog video surveillance system is connected to digital network video surveillance system and the video surveillance signal is transmitted to land surveillance terminal, which facilitates computer to access video surveillance resources on LAN, and increases the storage function of the original analog video surveillance system in a more reasonable way. It can provide reference for the design and upgrading of similar video surveillance systems.

Enhanced Video Analytics for Sentiment Analysis Based on Fusing Textual, Auditory and Visual Information

With the widespread of online videos and digital transformation, video informatics and analytics have recently gained substantially increasing importance with an impressive success in a variety of tasks such as digital marketing, video surveillance and security systems, healthcare systems, talk show analysis, analysis of influencing groups in social media, and target tracking. This paper evaluates the potential contribution of various video modalities and how they are correlated to video analytics for sentiment analysis in the morphologically-rich Arabic language. Moreover, an enhanced approach is presented for video analytics to predict the speaker’s sentiment of multi-dialect Arabic through the integration of textual, auditory and visual modalities. Different features are extracted to represent each modality including prosodic and spectral acoustic features to represent audio, neural word embedding to represent audio text transcript, and dense optical-flow descriptors to represent visual modality. The extracted features are used individually to train two machine learning classifiers to provide a baseline. Then, the effectiveness of various combinations of modalities is verified using multi-level fusion (feature, score and decision). The experimental results demonstrate that the proposed approach of combining different modalities can lead to more accurate prediction of speaker’s sentiment with above 94% accuracy.

Using video surveillance to monitor feeding behaviour and kleptoparasitism at Eurasian lynx kill sites

Recent technological developments in non-invasive methods facilitate study of the behaviour of elusive predators. We used two types of automatic digital video surveillance systems in combination with GPS telemetry to record feeding behaviour of wild Eurasian lynx (Lynx lynx), intraspecific prey sharing and scavenger activity at ungulate kill sites in the Dinaric Mountains. This approach proved an effective and mostly non-invasive way to obtain detailed data on the consumption of prey by lynx and kleptoparasites, especially when the advanced video system was used. Lynx spent a considerable amount of time in the vicinity of the kill site, but usually visited the carcass for feeding only once per night with a mean visit time of 35 min and most of the feeding occurred during the first half of the night. Lynx covered 83 % of prey remains, which seemed to be effective against avian scavengers that only found 17 % of the carcasses. We recorded six vertebrate species scavenging on lynx kills, with red fox (Vulpes vulpes) and brown bear (Ursus arctos) being the most frequent kleptoparasites. Based on our results, we provide recommendations for future research using this method, as well as outlining the pros and cons of advanced vs. simple video systems.

ვიდეომონაცემების მიღებისა და დამუშავების ალგორითმი ციფრული დაცვის ვიდეოდაკვირვების სისტემებისათვის

ვიდეომონაცემების მიღებისა და დამუშავების ალგორითმი ციფრული დაცვის ვიდეოდაკვირვების სისტემებისათვის

Hybrid Image Encryption Technique to Improve the Security Level by using (n, k, p) Gray Code and XOR Operation

Objectives: To enhance the performance of decomposition encryption methods, a modified image encryption technique is utilized in (n, k, p) Gray coding exhibit the application of (n, k, p) Gray coding in the encryption of images. Methods/ Statistical Analysis: We proposed a revised algorithm based on image encryption that improves the level of security for available (n, k, p) based bit plane decomposition encryption technique. The proposed hybrid methods starts with bit-plane decomposition of (n, k, p) Gray coding then shuffling each bit plane using random scrambling finally pixel substitution based on X-OR Operation. Findings: The experimental results and comparison demonstrates that proposed encryption algorithm have best performance in image encryption. Applications/Improvements: This algorithm could be utilized for securing protection in biological traits, imaging systems in medical field and digital video surveillance system. Our next plan will additionally enhance and examine the execution of (n, k, p)-Gray coding for data hiding and picture de-noising. Keywords: Bit-Plane Decomposition, Image Encryption, (n, k, p)-Gray Code, Pixel Permutation, X-OR

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.

LSO-AdaBoost Based Face Detection for IP-CAM Video

The IP-CAM plays a major role in the context of digital video surveillance systems. The function of face detection can add extra value and can contribute towards an intelligent video surveillance system. The cascaded AdaBoost-based face detection system proposed by Viola can support real-time detection with a high detection rate. The performance of the Alt2 cascade (from OpenCV) in an IP-CAM video is worse than that with regard to static images because the training data set in the Alt2 cannot consider the localized characters in the special IP-CAM video. Therefore, this study presents an enhanced training method using the Adaboost algorithm which is capable of obtaining the localized sampling optimum (LSO) from a local IP-CAM video. In addition, we use an improved motion detection algorithm that cooperates with the former face detector to speed up processing time and achieve a better detection rate on video-rate processing speed. The proposed solution has been developed around the cascaded AdaBoost approach, using the open-CV library, with a LSO from a local IP-CAM video. An efficient motion detection model is adopted for practical applications. The overall system performance using 30% local samples can be improved to a 97.9% detection rate and reduce detection time by 54.5% with regard to the Alt2 cascade.

System-on-a-Chip (SoC) Based Hardware Acceleration for Video Codec

Nowadays, from home monitoring to large airport security, a lot of digital video surveillance systems have been used. Digital surveillance system usually requires streaming video processing abilities. As an advanced video coding method, H.264 is introduced to reduce the large video data dramatically (usually by 70X or more). However, computational overhead occurs when coding and decoding H.264 video. In this paper, a System-on-a-Chip (SoC) based hardware acceleration solution for video codec is proposed, which can also be used for other software applications. The characteristics of the video codec are analyzed by using the profiling tool. The Hadamard function, which is the bottleneck of H.264, is identified not only by execution time but also another two attributes, such as cycle per loop and loop round. The Co-processor approach is applied to accelerate the Hadamard function by transforming it to hardware. Performance improvement, resource costs and energy consumption are compared and analyzed. Experimental results indicate that 76.5% energy deduction and 8.09X speedup can be reached after balancing these three key factors.

Monitoring Western Snowy Plover Nests with Remote Surveillance Systems in San Francisco Bay, California

Abstract The western snowy plover Charadrius nivosus nivosus is listed as threatened under the U.S. Endangered Species Act of 1973 due to long-term population declines related, in part, to nest predation and human disturbance. In San Francisco Bay, California, numbers of predators of western snowy plovers and the potential for recreation-based human disturbances have increased during the past few decades and will likely increase for the foreseeable future. In an attempt to increase the reproductive success of western snowy plovers, managers have dedicated considerable resources to management practices including predator removal and habitat enhancement projects in San Francisco Bay. The unequivocal identification of western snowy plover nest predators and information regarding the behavioral responses of nesting plovers to human disturbance would inform management practices for this species. Therefore, we examined the efficacy of using a digital video surveillance system to identify nest predators of western snowy plovers in former salt evaporation ponds in San Francisco Bay and to assess its potential for use in behavioral studies. This system was designed to minimize disturbance to nesting plovers and limit predator bias at breeding sites that had little or no cover to camouflage or protect the equipment. The system included a small camera with infrared lights placed approximately 20 m from nests and a continuously operating recording unit and power supply that was positioned up to 300 m from nests. The system could be deployed within 20 min, run continuously for up to 5 d, and data could be retrieved without disturbing nesting birds. During a 2-y study period, we recorded six species depredating plover eggs and chicks: red-tailed hawk Buteo jamaicensis, common raven Corvus corax, California gull Larus californicus, northern harrier Circus cyaneus, ruddy turnstone Arenaria interpres, and gray fox Urocyon cinereoargenteus. Our results suggest that this surveillance system was effective for identifying western snowy plover nest predators, and the presence of the camera did not influence nesting success of monitored nests. This system could be integrated into conservation programs intended to improve reproductive success of this species and could be useful for conducting behavioral studies of western snowy plovers and other species.

The Constructing of Integrated Remote Monitoring System for Cold Store

Being an important node of cold chain logistics, the cold store has to be monitored and managed remotely in real-time, which is very important to operate the whole system effectively. With the help of wireless sensing network and other advanced techniques, a cold store remote monitoring system is set up, which is composed of digital video surveillance system, refrigeration control system and fire alarm system etc. Cold store is then monitored in a long range and managed systemically. The security and reliability of the cold store is guaranteed effectively.

Reproductive behaviour of the southern-hairy nosed wombat (Lasiorhinus latifrons)

The southern hairy-nosed wombat (Lasiorhinus latifrons) is under threat as its current distribution range and population size is declining. The low reproductive rates observed for this species, both in the wild and within captivity, are a cause for concern; as such this study was designed to provide a comprehensive account of reproductive behaviour in L. latifrons. The behaviour of four groups of captive animals (each 1♂ : 2♀) was remotely monitored for 14 months using a digital video-surveillance system. Using this technology, 13 distinctive reproductive-based behaviours were identified and recorded; each behaviour was allocated to one of two categories: courtship/guarding or mating. The courtship-to-mating ritual was made up of six consecutive phases: investigation, attraction, chase, restraint, coitus and recovery. In total, 423 courtship and 49 mating bouts were observed from five (2♂ : 3♀) wombats. Courtship behaviour was observed on 116 days, with a mean bout number of 3.6 ± 0.2 per day and a mean total daily time of 29.8 ± 1.8 min. Mating was observed on 24 days, with a mean bout number of 2.1 ± 0.3 per day and a mean total daily time of 100.1 ± 9.8 min. Courtship occurred over the entire enclosure area and three distinctive courtship locomotor patterns were identified: spiral-circles, straight-lines and random. Matings occurred only in closed spaces and were always accompanied by courtship behaviour. In contrast, only 68% of all courtship days were associated with a mating event. Receptivity in the female wombats lasted for 13 h and the behavioural signs of oestrus were so subtle that only the reaction/interest of the male could be used for its detection. The covert reproductive behaviours identified for female L. latifrons closely match those previously reported for captive common wombats and may relate to this species’ need to conserve energy.

Integrated Library Security Systems

This article offers guidelines for libraries considering purchasing an integrated digital video surveillance system based on the experience of the Auburn University Libraries. Factors considered in the decision of what system to purchase includes computers in place, the security needed to protect them, and past and present campus security issues. The article also covers the technical aspects of closed-circuit television (CCTV) and integrated Internet protocol (IP) camera surveillance systems and provides a brief explanation of how the equipment works. It summarizes the advantages and disadvantages of both analog and digital systems and provides a list of digital system company resellers.

Chaotic Watermarking for Video Authentication in Surveillance Applications

Installing video cameras in public facilities for surveillance becomes more and more popular. This paper proposes a novel authentication scheme based on chaotic semi-fragile watermarking. The timing information of video frames is modulated into the parameters of a chaotic system. The system output, which is a noise-like signal, is used as a watermark and embedded into the block-based discrete cosine transform domain. The embedded information is demodulated by a maximum likelihood estimator. Temporal tampering can be detected by the mismatch between the extracted and the observed timing information. In addition, the deviation of the extracted watermark from the original one allows us to locate spatial tampering. It is shown that the proposed scheme can satisfy the peculiar requirements of authenticating a digital video surveillance system.

웹캠 : 새로운 인데스검색 알고리듬을 이용한 웹기반 원격 녹화 보안 시스템

As existing analog video surveillance systems could save and retrieve data only in a limited space within short distance, it had many constraints in developing into various application systems. However, on the back of development of the Internet and computer technologies, digital video surveillance systems can be controlled from a remote location by web browser without space limits. Moreover, data compression and management technologies with Index Search algorithm make it possible to efficiently handling, storing, and retrieving a large amount of data and further motion detection algorithm enhances a recording speed and efficiency for a practical application, that is, a practical remote recordable video surveillance system using our efficient algorithms as mentioned, called WebCam. The WebCam server system can intelligently record and save video images digitized through efficient databased management, monitor and control cameras in a remote place thought user authentication, and search logs.

Digital video surveillance system based on network

The key technology of digital video surveillance System is discussed,including compression stardard,transmission channel and bandwidth,transmission protocol.A digital video surveillance system based on fast Ethernet is proposed then.It comprises functions of video coding and decoding,network transmission,video storage and playback,vidicon remote control,alarm by motion detection.It adopts video coding by hardware and fast Etnernet techineques,so its picture quality and frame rate are far better than those systems based on PSTN and video coding by software.