Academic literature on the topic 'Optoelectronic surveillance system'

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Journal articles on the topic "Optoelectronic surveillance system"

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BOROVYK, O., D. BOROVYK, and D. CIMBRIQUE. "SUMMARY REQUIRING REGARDLESS OF CREATION DECISION SUPPORT SYSTEM FOR THE DISTRIBUTION CAPABILITIES TO PROVIDE SUFFICIENT EFFICIENCY OF BORDER REGION OF SYSTEMS FOR OPTO-ELECTRONIC SURVEILLANCE." Computer Systems and Information Technologies 1, no. 1 (September 2, 2020): 81–90. http://dx.doi.org/10.31891/csit-2020-1-11.

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The article is devoted to the substantiation of the choice of the basic methodology for assessing the effectiveness of the optoelectronic surveillance system, which could be taken as the basic model of this system for the distribution of forces and means to ensure a sufficient level of border protection efficiency. taking into account in the specified basic methodology for assessing the effectiveness of the system. As a result of the study it was found that as a basic method of assessing the effectiveness of the optoelectronic surveillance system, it is advisable to adopt a method based on a probabilistic approach to describe the processes that accompany the functioning of the optoelectronic surveillance system. It is also substantiated that the main provisions that need to be taken into account when creating a decision support system for the distribution of forces and means to ensure a sufficient level of border protection in the field of optoelectronic surveillance are: homogeneous in terms of features of technical means of border protection time periods; adequate integrated laws of distribution of time periods, which determine the probability of non-detection of the target to its approach to a given distance by certain technical means of border protection, which are part of the studied system of optoelectronic surveillance; points of "stitching" of various integral laws of distribution at the ends of the specified periods; the impact of weather changes over a period of time, which characterizes the period of the service organization, on the functioning of the system; "Dead" zones, which are dynamically variable depending on the natural and man-made conditions that arise in the area of responsibility.
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Protsenko, P. A., and R. V. Khubbiev. "Method for Estimating the Efficiency of Small Orbital Spacecraft Systems for Optoelectronic Surveillance." Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, no. 1 (130) (February 2020): 29–41. http://dx.doi.org/10.18698/0236-3941-2020-1-29-41.

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The paper presents the results of analysing existing approaches to estimating how efficient small orbital spacecraft systems are for the purpose of optoelectronic surveillance, including determining their shortcomings. We simulated employing an orbital system required to ensure surveying the earth surface at various latitudes, accounting for sunrise and sunset time on the winter and summer solstice days, and discovered that the following parameters show low sensitivity: average daily object sighting number at a preset latitude and maximum time delay between object sightings at a preset latitude. We propose a new efficiency factor reflecting a confidence interval regarding the object sighting time delay. We developed a procedure utilising the factor proposed, expanding the scientific methodology in terms of estimating how efficient small orbital spacecraft systems are for optoelectronic surveillance. We obtained object sighting time delays at a preset latitude as functions of the probability of these delays occurring. We recommend using this procedure to estimate the efficiency of jointly employing several small orbital spacecraft systems and incomplete composition systems, as well as to state and solve the problem of synthesising the ballistic structure of an orbital system intended to improve the efficiency of earth surveillance.
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Kuzmich, O., V. Kuznetsov, and M. Andrushko. "ANALYSIS OF APPLICATION OF CONTEMPORARY NIGHT VISION GOGGLES ON THE BASIS OF ELECTRONIC-OPTICAL CONVERTER BY THE HELICOPTER CREWS. PROSPECTIVE HELICOPTER OPTOELECTRONIC SYSTEMS OF AERIAL RECONNAISSANCE/SURVEILLANCE." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки, no. 5 (December 22, 2020): 50–55. http://dx.doi.org/10.37701/dndivsovt.5.2020.06.

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The paper studies the matters of using of night vision goggles by the helicopter crews of the State Aviation of Ukraine. The analysis of the perspective systems that can replace night vision goggles based on electronic-optical converter and provide round-the-clock and all-weather flights, landing of the helicopter on unprepared and unlit areas in poor visibility was treated. Currently, the practice of using combat and transport helicopters involves their wider use in the night-time conditions (air warfare, delivery of goods, search-and-rescue operations). Due to low light levels, until recently, most night-time target acquisition tasks have been related with the necessities of providing the artificial target illumination, but in certain instances such illumination deteriorates visibility through an lighttight, phosphorescent atmospheric shells or it just can‟t be carried out. The need for a large number of channels included in the optoelectronic system, caused by the variety of tasks that are solved by it, as well as the imperfection of each individual channel. This forces them to be combined to improve the efficiency of the optoelectronic systems themselves, so that the disadvantages of one channel are offset by the advantages of another. In fact, it is only possible way to ensure the fulfilment of combat task by combining channels operating in different spectral bands in one scheme and by combining detection devices. It can be stated that, despite the undisputed advantages of optoelectronic systems as compared to night-vision goggles, in case of the selecting for installing on a helicopter of optoelectronic systems, it should take into account the much higher cost of optoelectronic systems compared with night-vision goggles. Therefore, the rationale for installing optoelectronic systems must be determined based on the scope of the executing tasks, which are to be conducted by a specific helicopter.
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Гулина, Ю. С., and В. Я. Колючкин. "Экспериментальные исследования модели зрительной системы человека." Журнал технической физики 127, no. 10 (2019): 622. http://dx.doi.org/10.21883/os.2019.10.48367.166-19.

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AbstractThe basic principles of a multichannel model of the visual system of a human that functions as an operator performing surveillance on images formed by optoelectronic devices are described. A technique for experimental studying the model of the human visual system is proposed. The results of experimental studies aimed refining the parameters of the model of the visual system are presented. A satisfactory agreement between the calculated and experimental results indicates that the refined model of the human visual system is adequate.
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Lobanova, Yu N., V. I. Lopin, and A. A. Rogozin. "Modeling the Process of Object Recognition on the Monitor Display of an Optoelectronic Surveillance System." Measurement Techniques 47, no. 2 (February 2004): 157–62. http://dx.doi.org/10.1023/b:mete.0000026214.45251.1b.

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Ivashevsky, M. R. "VIDEO SURVEILLANCE SYSTEMS FOR RAILWAY TRANSPORT." World of Transport and Transportation 17, no. 5 (June 7, 2020): 298–314. http://dx.doi.org/10.30932/1992-3252-2019-17-5-298-314.

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The article is devoted to analysis of ways to increase train traffic safety. One of ways to reduce accident rate on railways is timely detection of dangerous objects and notification of all traffic participants, primarily, the driver. Such a notification can be performed with the help of intelligent video surveillance system (IVS). The objective of the article is to study the possibility of using IVS to increase train traffic safety. Method (way to achieve the objective) consists of several stages: development of criteria of compliance of functional possibilities of IVS with tasks to increase train traffic safety, assessment, and calculation of permissible values of fitting criteria. The work suggests a scheme of organization of IVS based on fiber-optic data transmission system (FOTS) and data transmission network, highlights advantages and disadvantages of IVS, formulates requirements for IVS. Advantage of video surveillance is availability of video information about an object to a train driver, which allows to timely prevent an accident. Disadvantage of IVS is high probability of false detection, which can lead to false triggering of a system. To reduce the number of false triggering there are two ways: improvement of algorithms of video analytics in recognition device (RD) and increase of quality of video signals at the input of RD. The work is devoted to reduction of probability of false triggering due to improvement of communication quality. It is noted that an efficient method is the use of a new element base of electronics based on nanostructured materials. These materials allow to improve optoelectronic characteristics of main elements of IVS which are photosensors and photoreceivers.
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Mikhnionok, E. I. "METHOD OF IMAGE PROCESSING IN THE PROBLEM OF DETECTING MOVING OBJECTS IN OPTICAL-ELECTRONIC SURVEILLANCE SYSTEMS OF THERMAL IMAGING TYPE." Doklady BGUIR 18, no. 2 (March 31, 2020): 96–104. http://dx.doi.org/10.35596/1729-7648-2020-18-2-96-104.

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The article considers the method of image processing proposed by the author in relation to the problem of automatic detection of moving objects in optoelectronic thermal imaging systems. Moving objects on the observed scene are subject to investigation, so it is advisable to use algorithms based on background subtraction methods to solve the detection problem. However, the observed objects may include objects of interest (a person, a vehicle), as well as other objects and background elements that increase the noise component of the observed situation. Also, the increase in the noise component is greatly influenced by false segmentation in the foreground of the areas of processed images when transferring the field of view of the sensor of the optical-electronic surveillance system. The purpose of this article is to prove the reduction of the probability of false alarm of an automatic detector due to the author's proposed approaches to image processing. The research uses the mathematical apparatus of probability theory and simulation with subsequent statistical processing of data. The article shows that the probability of a false alarm of an automatic detector based on the background subtraction method increases significantly after the transfer of the field of view of the sensor of the optical-electronic surveillance system and decreases after the movement stops as the areas of the processed image that are falsely highlighted in the foreground are automatically segmented. The simulation showed that the approaches proposed by the author can increase the peak signal-to-noise ratio of processed images and reduce the probability of a false alarm of the automatic detector of objects of interest. The results obtained show the feasibility of adapting detection algorithms based on background subtraction methods to work in scanning optoelectronic surveillance systems.
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Stukalov, S. B., D. S. Stukalov, V. I. Kondrikov, and R. S. Gavryushin. "Electrooptical complex for terrain on-time survey." Civil Aviation High Technologies 22, no. 5 (October 28, 2019): 107–16. http://dx.doi.org/10.26467/2079-0619-2019-22-5-107-116.

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The article deals with a number of approaches to the use of electrooptical systems and unmanned aerial vehicles (UAV) to solve the tasks of live terrain surface screening, air incident spots and objects survey. The paper provides the grounds for the UAV airframe chosen structure and the design of the electrooptical complex. The light weight, high -wing monoplane airframe structure is suggested. Using the CNC production center, a UAV with high aerodynamic performance was developed. The UAV was fitted with the optoelectronic system. Structural design for the airborne and ground equipment of the survey complex was developed. The structural design comprises the forward-looking and side airborne surveillance cameras and also downward-looking cameras of visible and infrared bands to provide the day and night vision. The downward-looking cameras of visible and infrared bands, integrated into the UAV fuselage belly are used for the surface monitoring and survey. The flight test on the use of electrooptic system comprised the flight on the route and automatic return using the satellite system navigation. The test showed that navigation data correction was required. The positioning accumulative error elimination is suggested to be done via automated image registration with the contour extraction and landmark reference. The image processing results using Canny algorithm were presented. The recommendations on the algorithm practical application and speed of response are given. To solve the problem of terrain on-time surveillance and monitoring the flight routes were subjected to research. Based on the experiments performed, the recommendations were given on the electrooptic complex application and flight route plotting for the tasks of on-time search and rescue.
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Nikitchenko, V., S. Gordeev, S. Kaletnik, and O. Butenko. "SYSTEM OF PERSON’S VISUAL PERCEPTION AS AN OBJECT OF IMPACT BY LIGHT EMISSION." Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки, no. 8 (June 29, 2021): 91–100. http://dx.doi.org/10.37701/dndivsovt.8.2021.10.

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In modern conditions of hostilities, informativity plays an important role in both defense and offensive operations. Most of the information, including technical, passes through optical systems. Optoelectronic and infrared devices, missile homing heads, the human eye in their structure have optics with different coefficients. A light pulse of different levels makes a negative impact on optical systems decreasing data throughput. One of the possible types of impact on personnel in order to disorient enemy troops and disable optical surveillance and sighting systems is the use of light emission. Light emission can negatively affect the system of visual perception and cause the deterioration of information processing efficiency, so it can be used as a factor for the destruction of enemy personnel. In the process of impact by light emission on the system of visual perception, the phenomenon of after-effect is possible. It consists in the process of adaptation of the system of visual perception to the perception of information after exposure to bright light emission. The visual center of the brain plays a major role in the adaptation processes, so a human can see the transitions of the brightness of the adaptive background. The longest adaptation time occurs when exposed to blue and white light. The increase in the area of receptive fields leads to a decrease in the resolving capabilities of the system of visual perception and affects the effectiveness of the combat task in terms of target recognition and sighting. The main intense light emission impact factors on the enemy’s personnel are: psychological effect (disorientation and distraction) which is manifested in the temporary cessation of task execution, which relates to the unexpected emergence of bright emission; impairment of visual function (when intense bright light emission blocks the system of visual perception; temporary loss of vision; disorientation and epileptic attacks.
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BEZVESILNA, O., M. ILCHENKO, and S. KOTLIAR. "CLASSIFICATION OF AUTOMATED STABILIZATION INSTRUMENT COMPLEXES." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 295, no. 2 (May 2021): 172–75. http://dx.doi.org/10.31891/2307-5732-2021-295-2-172-175.

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The article is devoted to automated instrument stabilization systems. The authors systematized and presented the classification of modern stabilizers. High-precision automated instrument stabilization systems are used in light armoured vehicles, performing the functions of search acceleration, determining the coordinates of moving objects in extreme conditions; observation of ground, air and surface targets. Also promising is the use of automated instrumentation stabilization systems in aviation gravimetry for the exhibition of the axes of sensitivity of navigation sensing elements (gravimeters). A characteristic feature of the development of modern technology is the improvement of technical characteristics of all instrumentation systems that are part of the product management system, including stabilizers. This process is due to the transition to a digital element base, the use of new information sensors, new optoelectronic surveillance devices and the development of new circuit design solutions, which, in turn, increases the speed of equipment and its manoeuvrability due to greater automation. The article reveals the principle of classification of stabilizers: by object of stabilization, by number of stabilization planes, by type of measured coordinate, by gyroscope function, by type of actuator, by type of regulation, by type of circuit design. The functioning of the digital instrumental system for measuring mechanical parameters and stabilization by means of functional and structural diagrams of the channel of the automated instrumental stabilization complex is shown. The above is a new, more detailed classification of automated instrumentation stabilization systems, which systematizes the principles of construction of modern stabilizers.
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Dissertations / Theses on the topic "Optoelectronic surveillance system"

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Микитенко, Володимир Іванович. "Підвищення ефективності функціонування оптико-електронних систем спостереження з комплексуванням зображень." Thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/31476.

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Дисертаційну роботу присвячено вирішенню важливої наукової проблеми підвищення ефективності функціонування багатоканальних оптико-електронних систем спостереження з комплексуванням зображень шляхом створення методів узгодження характеристик основних блоків, механізму оцінювання ефективності функціонування систем і адаптивного вибору найкращого методу злиття зображень спектральних каналів, засобів експериментального визначення основних характеристик систем, що дозволяє покращити якість виконання поточної задачі спостереження оператором, підвищити максимальну дальність виявлення об’єктів в двоканальних системах до 12%, забезпечує збільшення динамічного діапазону вимірювання енергетичних характеристик до 2,5 разів.
The dissertation is devoted to solving the scientific problem of increasing performance of optoelectronic surveillance systems (OESS) with image fusion by creating scientific bases and applied methods of analysis, synthesis and adjustment of information channels on a uniform methodological basis. The methodological bases for improving the OESS power consumption with image fusion are scientifically substantiated. They include the methods of constructive harmonization of the OESS’s main units characteristics, the mechanism of the adaptive selection of the best method of spectral images merging, the means of experimental determination of the OESS main characteristics and allow increase performance of the system. By information fusion from different channels, one can dramatically improve the quality of background status (BS) information. There is still no unified OESS design technology to analyze and synthesize the entire information system, to formulate technical requirements for individual blocks of spectral channels and algorithms for image fusion, taking into account the context of the observer's current task and type of BS. A number of problems remain to be solved with regard to improve the OESS performance by forming the image in operator’s field of view, which content provides best solution to the current surveillance task. An «object - OESS with image fusion – operator» mathematical model has been created. It allows analyze and design the OESS within a linear model. The formula for mod-ulation transfer function of the “lens - detector” system of the aerospace OESS was obtained at arbitrary angles of view. It can be used to calculate the values of the lens pupil diameter, focal length of the lens and threshold irradiance of detector, which is required to achieve the given image contrast. Unified algorithm for estimation of spatial and energy properties of OESS spectral channels based on the targeting task performance (TTP) metric is offered. It allows to determine the main information channel in the OESS as the base for further fusion, as well as to coordinate the parameters of the input blocks of two-chan-nel OESS. The method of performance estimation of OESS with information fusion on the basis of a posteriori TTP metric is developed. The metric is determined numerically for the method of merging images on the resulting spatial spectrum of images. This method allows to investigate the features of the image fusion process and its visual perception by the operator. It allows you to calculate the probability of detection, recognition and identification of an object, which is observed by the OESS with image fusion. A new method of reconciling the basic parameters of monoblock collimator and telescopic sights for small arms is proposed. Two variants of monoblock collimator sights with improved aiming accuracy are offered. The sight of two optical parts with different refractive index, glued on the plane, provides a linear aperture of the original pupil of the sight 0.276, with parallax 3 mrad. A monoblock collimator sight of two optical parts with different refractive index, glued on a spherical surface, at the same linear aperture of the original pupil and mass provides parallax of 1.25 mrad. A scheme of a decentralized tele-scopic monoblock is proposed, in which at a mismatch of 3 mrad the magnification can reach 1.6 times compared to 1.4 times for an axisymmetric scheme. A new method for measuring OESS spectral channels basic energy characteristics has been developed. This method, compared to its analogues, increases the dynamic range up to 2.5 times with a high uniformity of the brightness field. For the first time, the efficiency of the image fusion strategy, which allows to increase the maximum detection range of objects in dual-channel OESS by up to 12%, was developed and experimentally validated. New methods of increasing the speed of information processing in multichannel OESS with image fusion are proposed. The first method uses the information map based on the low spatial resolution channel and the second method uses a digital coherent optical processor. The amount of computation in the first case can be reduced up to 2 times.
Диссертационная работа посвящена решению важной научной проблемы повышения эффективности функционирования многоканальных оптико-электронных систем наблюдения с комплексированием изображений путем создания методов согласования характеристик основных блоков, механизма оценки эффективности функционирования систем и адаптивного выбора наилучшего метода слияния изображений спектральных каналов, средств экспериментального определения основных характеристик систем, что позволяет улучшить качество выполнения текущей задачи наблюдения оператором, повысить максимальную дальность обнаружения объектов в двухканальных системах до 12%, обеспечивает увеличение динамического диапазона измерения энергетических характеристик до 2,5 раз.
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Books on the topic "Optoelectronic surveillance system"

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Driggers, Ronald G., and Jon C. Leachtenauer. Surveillance and Reconnaissance Systems: Modeling and Performance Prediction. Artech House Publishers, 2001.

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R, Pirich Andrew, and Society of Photo-optical Instrumentation Engineers., eds. Multifrequency electronic/photonic devices and systems for dual-use applications: 29-30 July 2001, San Diego, USA. Bellingham, Wash., USA: SPIE, 2001.

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Book chapters on the topic "Optoelectronic surveillance system"

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Jaén-Vargas, M., K. Reyes Leiva, F. Fernandes, S. B. Gonçalves, M. Tavares Silva, D. S. Lopes, and J. Serrano Olmedo. "A Deep Learning Approach to Recognize Human Activity Using Inertial Sensors and Motion Capture Systems." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210196.

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Human Activity Recognition (HAR) plays an important role in behavior analysis, video surveillance, gestures recognition, gait analysis, and posture recognition. Given the recent progress of Artificial Intelligence (AI) applied to HAR, the inputs that are the data from wearable sensors can be treated as time-series from which movement events can be classified with high accuracy. In this study, a dataset of raw sensor data served as input to four different deep learning networks (DNN, CNN, LSTM, and CNN-LSTM). Differences in accuracy and learning time were then compared and evaluated for each model. An analysis of HAR was made based on an attempt to classify three activities: walking, sit-to-stand, and squatting. We also compared the performance of two different sensor data types: 3-axis linear acceleration measured from two inertial measurement units (IMUs) versus 3D acceleration of two retro-reflective markers from the high-end optoelectronic motion capture system (MOCAP). The dataset created from observations of ten subjects was preprocessed with labelling and sliding windows and then used as input to the four frameworks. The results indicate that, for HAR prediction, linear accelerations estimated using IMUs are as reliable as those measured using the MOCAP system. Also, the use of the hybrid CNN-LSTM framework for both methods resulted in higher accuracy (99%).
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Ye, X. W., T. Jin, and P. Y. Chen. "Application of Computer Vision Technology to Structural Health Monitoring of Engineering Structures." In Optoelectronics in Machine Vision-Based Theories and Applications, 256–68. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5751-7.ch009.

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The computer vision technology has gained great advances and applied in a variety of industry fields. It has some unique advantages over the traditional technologies such as high speed, high accuracy, low noise, anti-electromagnetic interference, etc. In the last decade, the technology of computer vision has been widely employed in the field of structure health monitoring (SHM). Many specific hardware and algorithms have been developed to meet different kinds of monitoring demands. This chapter presents three application scenarios of computer vision technology for health monitoring of engineering structures, including bridge inspection and evaluation with unmanned aerial vehicle (UAV), recognition and surveillance of foreign object intrusion for railway system, and identification and tracking of concrete cracking. The principles and procedures of three application scenarios are addressed following with the experimental study, and the possibilities and ideas for the application of computer vision technology to other monitoring items are also discussed.
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Conference papers on the topic "Optoelectronic surveillance system"

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Zygmunt, Marek, and Krzysztof Kopczynski. "Laser warning system as an element of optoelectronic battlefield surveillance." In Radioelectronic Systems Conference 2019, edited by Piotr Kaniewski and Jan Matuszewski. SPIE, 2020. http://dx.doi.org/10.1117/12.2565139.

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Jia, Lili, Ying You, Tiezhu Li, and Shun Zhang. "A practical indoor context-aware surveillance system with multi-Kinect sensors." In International Symposium on Optoelectronic Technology and Application 2014, edited by Mircea Guina, Haimei Gong, Zhichuan Niu, and Jin Lu. SPIE, 2014. http://dx.doi.org/10.1117/12.2072338.

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Bonshtedt, Boris B., Dmitry N. Eskov, and Alexander J. Smirnov. "Optoelectronic sensing of image movement in focal plane of Earth's surveillance optical system." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Michael K. Masten, Larry A. Stockum, Morris M. Birnbaum, and George E. Sevaston. SPIE, 1994. http://dx.doi.org/10.1117/12.178928.

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Tang, Tian-jin, and Jing-bo Tong. "Telecentric system with large-field for surveillance and measuring camera in space station." In International Symposium on Optoelectronic Technology and Application 2014, edited by Anatoli G. Borovoi and Dong Liu. SPIE, 2014. http://dx.doi.org/10.1117/12.2070601.

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Hong Yu, Jianjun Shen, and Xiaodan Du. "Camera surveillance system based on image recognition." In 2011 International Conference on Electronics and Optoelectronics (ICEOE). IEEE, 2011. http://dx.doi.org/10.1109/iceoe.2011.6013384.

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Stenzel, Tomasz, Maciej Sajkowski, Janusz Hetmanczyk, and Tomasz Boratynski. "Application of 6-DOF parallel manipulator for optoelectronic surveillance systems development." In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. http://dx.doi.org/10.1109/pemc48073.2021.9432510.

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Chen, Jing, and Yongtian Wang. "Compressive Imaging: An Application for Surveillance Systems." In 2012 Symposium on Photonics and Optoelectronics (SOPO 2012). IEEE, 2012. http://dx.doi.org/10.1109/sopo.2012.6270994.

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Wu, Jianhui, Nanyang Zhang, Guoyun Zhang, and Longyuan Guo. "Study of the intelligent video surveillance system based on the staring ommateum model." In Photonics and Optoelectronics Meetings 2011, edited by Pierre Galarneau, Xu Liu, and Pengcheng Li. SPIE, 2011. http://dx.doi.org/10.1117/12.918732.

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Stroica, Petre, and Marian Vladescu. "Implementation of an omnidirectional surveillance system based on 360-degree panoramic vision." In Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2012, edited by Paul Schiopu and Razvan Tamas. SPIE, 2012. http://dx.doi.org/10.1117/12.981841.

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Ruban, Igor, Vladyslav Khudov, Oleksandr Makoveichuk, Hennadii Khudov, and Irina Khizhnyak. "A Swarm Method for Segmentation of Images Obtained from On-Board Optoelectronic Surveillance Systems." In 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). IEEE, 2018. http://dx.doi.org/10.1109/infocommst.2018.8632045.

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