Springer, Heidelberg (2013), Janowski, L., Kozłowski, P., Baran, R., Romaniak, P., Glowacz, A., Rusc, T.: Quality assessment for a visual and automatic license plate recognition. Finally we conclude with a discussion on design issues, challenges and future technological directions. activation, the MMR, CR and LPR modules individually process ROIs pass, from the GDE, and send the results of this processi, results are metadata depending on the module, MMR, for instance, the returned metadata contains an alias name ide, make and model of the car, which have been predicted by the classifier built into the, module. Pan Tilt Outdoor Security Camera, 1080P Home WiFi IP Camera, Pan Tilt Dome Surveillance Cam, Tw… 2, the Camera Core receives the video stream from the Cam-. Intelligent traffic monitoring. Fig. with statistic evaluation using 15 successive images – 95 %. An intelligent surveillance system based on visual information gathered by smart cameras, aimed at traffic monitoring with emphasis on traffic events caused by cars, is presented in the paper. SURF features. The main argument in favor of FCM is their simplicity and the speed of calculations that can be required for real-time updates of traffic parameters. The rapid development of Internet technology and the spread of various smart devices have enabled the creation of a convenient environment used by people all around the world. Thanks to the purposely built-in intelligent image processing and pattern recognition algorithms, smart cameras can detect motion, measure objects, read vehicle number plates, and even recognize human behaviors. future improvements are drawn in Section 7. veillance cameras will be positioned over e, streets, parking lots, etc. 4). This paper reports on the prototype implementation of a smart camera for traffic surveillance. is returned as the name of the predicted color. These regions are analyzed to distinguish persons from other objects by using a matched filter on the height-segmented depth measurements of each ROI. The success rate of the LPR algorithm, gi, nized license plates among all test images (the test set used in the reported ex. The published article is available at http://link.springer.com/chapter/10.1007%2F978-3-319-26404-2 16 of INSIGMA system would not be fully described without mentioning such advanced traffic surveillance functions, as make and model recognition of cars [4, New Methods for Error Correcting Codes, especially applied in Digital Watermarking Technologies. As illustrated in Fig. This information is then transmitted to a higher level computer, which analyzes the image in real time to identify the license plate, and a record is made of, Automatic vehicle license plate recognition (LPR) is important for intelligent traffic surveillance systems. Part of Springer Nature. The primary goal of this project is the development of a smart camera for traffic surveillance. be improved first of all by increasing the number of frames taken into account by the, statistical evaluation procedure. This leads to a combination of novel detection, description, and matching steps. particular, the development of CMOS image sensors (CIS) - cheaper to be manufac-, stand-alone cameras and camera phones, accessibility and demand for smart cameras, have also increased. statistical evaluation, because to increase the accurac. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. Therefore, they are also utilized in various computer vision applications, as e.g. Daily commuters watch traffic cams daily on the morning news to get the latest traffic reports before heading out. To achieve th, process more than 10 fps as is the case at the moment. ... Quickly assess foot traffic in a retail store, or monitor … The paper encompasses a detailed description of the detector and descriptor and then explores the effects of the most important parameters. Core), the Java Native Interface (JNI) framework has been used. Since the number of surveillance cameras is still growing it is obvious that automatic systems will be used to do the tasks. The support-vector network is a new learning machine for two-group classification problems. At CCTV Camera World we aspire to provide the most up to date, professional security camera equipment for your home or business while keeping cost affordable. Development of a System for Detecting Security Threats for Persons with a Vision Impairment, Including Threats Caused by Traffic. The proposed system is assisted by a previously developed license plate recognition, a symmetry axis detector and an image phase congruency calculation modules. of color component texture for license plate, Join ResearchGate to discover and stay up-to-date with the latest research from leading experts in, Access scientific knowledge from anywhere. CMOS (Complementary Metal Oxide Semiconductor) image sensors and so on [1]. texture of plate base and character. This is achieved by relying on integral images for image convolutions; by building on the strengths of the leading existing detectors and descriptors (specifically, using a Hessian matrix-based measure for the detector, and a distribution-based descriptor); and by simplifying these methods to the essential. Furthermore, several calculation automation scripts are described, along with a dedicated graphical user interface, which gives a more comprehensive insight into the presented system. This paper proposes a novel technique to summarize the traffic surveillance videos that uses Faster Regions with Convolutions Neural Networks(R-CNN) to automatically detect violators. This aspect is however, strong-, ly connected to performance parameters. Package - Amazon - Echo Show 5" Smart Display with Alexa - Sandstone and Blink - Mini Indoor 1080p Wi-Fi Security Camera - White User rating, 4.7 out of 5 stars with 11386 reviews. Surface images are registered (by the, GDE module) every given period of time, when recogni, (when no car is present in the camera FOV). Multimedia Tools and Applications (2013), doi:10.1007/s11042-013-1545-2. Legal and Technical Aspects. Experiments have proven the applicability of the system for different crowding scenarios but also revealed inaccuracies of the detection of people in special cases. Development of the presented architectu, which the authors of this paper are currently involved. In this paper, we present a versatile measurement system and describe various optimisation strategies utilised to reach real-time operation. This is because, in the latter case, the subjective satisfaction of the user depends on achieving a given functionality. A Smart Camera for Traffic Surveillance View 0 peer reviews of A Smart Camera for Traffic Surveillance on Publons Download Web of Science™ My Research Assistant : Bring the power of the Web of … With usage of intrinsic and extrinsic camera parameters a ground plane is estimated and compared to the measured distances of the ToF sensor in every pixel. Its spatial approximation accuracy is carefully investigated and reported as well as referred to the universally recognized Ramer algorithm. tries of the main diagonal of a confusion matrix. Intelligent Transportation Systems (ITS) aim to improve safety, mobility and 9 show that the accuracy of the LPR algorithm strongly, depends on the quality of the input ROI. We also examine their intelligent algorithms, features and applications. Machine Learning 20(3), 273–297 (1995), Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. The paper presents a new approach to the problem of calibration of a pair of CCTV cameras – a wide angle camera and Pan-Tilt-Zoom (PTZ) camera. Differences to the expected ground plane define foreground information, which is used as regions of interest (ROIs). Automation of this process is highly desirable for reliable and robust monitoring of traffic rules violations. The solution was intended to be deployed within the Dynamic Map, an important component of the INSIGMA system used for route planning and traffic control. It, enables detection and tracking of every person’s movement as well as analysis of this, movement in contrast to the behavior of the entire crowd. The automatic license plate recognition must operate license plate number under different conditions like, environment such as non-uniform indoor, non-uniform outdoor & plate variation such as inclination and occlusion. SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. Constituent procedures, including face normalization, descriptors computation as well as feature matching and similarity discovering are described accurately. Many countries have adopted systems involving surveillance cameras at accident zones. Communications in Computer and Information Science, Contour Extraction and Compression Scheme Utilizing Both the Transform and Spatial Image Domains, A capable multimedia content discovery platform based on visual content analysis and intelligent data enrichment, Software package for measurement of quality indicators working in no-reference model, INSIGMA: an intelligent transportation system for urban mobility enhancement, Learning Fuzzy Cognitive Map for Traffic Prediction Using an Evolutionary Algorithm, Design of a Symmetry Protocol for the Efficient Operation of IP Cameras in the IoT Environment, Traffic Surveillance Video Summarization for Detecting Traffic Rules Violators Using R-CNN, Efficiency Investigation of BoF, SVT and Pyramid Match Algorithms in Practical Recognition Applications, Application of Local Features for Calibration of a Pair of CCTV Cameras, Face Recognition for Movie Character and Actor Discrimination Based on Similarity Scores, Quality assessment for a visual and automatic license plate recognition, The efficient real- and non-real-time make and model recognition of cars, People Detection and Tracking from a Top-View Position Using a Time-of-Flight Camera, Data Mining Practical Machine Learning Tools And Techniques, Vehicle model recognition from frontal view image measurements. Intelligent Multimedia System for Web and IPTV Archiving, Error Correcting codes, Digital Watermarking, Automatic Recognition for Arbitrarily Tilted License Plate, Vehicle Number Plate Recognition and Parking System, Automatic License Plate Recognition: A Review, Intelligent Entrance Guard Control System to Regulate Alternate Two Way Traffic on a Single Track. r identifying offenders in traffic accidents. The growing traffic in cities and on motorways brings new challenges for traffic monitoring. To solve this problem, we design an angle correction module and integrate it into a holistic ALPR model with a spatial transformer network embedded inside. Moreover, it is reasonable to assume that parallel compu-. algorithms, output modules and advantages of the developed system. The output of the image processing is the plate number, this number is used to decide whether the car to enter the parking lot or not. One of INSIGMA's objectives, is to develop software which will be able to process video sequences registered, surveillance cameras in order to detect and extract selected features of cars, including, introduces the overall architecture of the presented smart camera syst, tion of MMR, LPR and CR modules is presented in Sections 3 to 5. The Quality of Experience (QoE) concept for video content used for entertainment differs significantly from the QoE of surveillance video used for recognition tasks. This service is more advanced with JavaScript available, MCSS 2014: Multimedia Communications, Services and Security Selected examples of these fields are shown in Fig. We have chosen to base the estimation model on Fuzzy Cognitive Maps (FCM) formalism and apply an Evolutionary Algorithm to learn the model parameters. In the case of the MMR module, the times required to process the single QI image, platforms (TMMR) are illustrated in Fig. Cars selected this way can th, To make the above capabilities useful, the iCamera system must ensure an ade-, quate level of efficiency. Thesupport-vector network is a new learning machine for two-group classification problems. However, the greater the frame rate the shorter the frame process, Of course, there are also other factors, for ins. MPEG, Palma de Mallorca (October 2004), © Springer International Publishing Switzerland 2014, Multimedia Communications, Services and Security, International Conference on Multimedia Communications, Services and Security, http://www.icinsights.com/services/osd-report/, http://www.prnewswire.com/news-releases/status-of-the-cmos-image-sensors-industry-187871741.html, http://www.matrox.com/imaging/media/pdf/products/iris_gt_mil/iris_gt_mil.pdf, http://www.matrox.com/imaging/en/products/software/mil/, Faculty of Electrical Engineering, Automatics and Computer Science, University of Computer Engineering and Telecommunications, https://doi.org/10.1007/978-3-319-07569-3_1, Communications in Computer and Information Science. It has also been assumed that the resolution of M-JPEG vid-. Such cameras are key components in novel surveillance systems. Solutions developed by, Anton Kummert from the University of Wuppertal are good examples of IVSS sys-, tems. the time and direction. The preliminary results demonstrate an average detection rate over 96.5% and an average Nowadays, MMR utility is commonly added to traffic monitoring (e.g. Smart facilities for Make and Model Recognition (MMR), License Plate Recognition (LPR) and Color Recognition (CR), embedded in the system in the form of their individual software implementations, are analyzed and their recognition rates detailed. In addition, “Matrox Iris GT is supported by the Matrox Imag-, ing Library (MIL), a comprehensive collect, In general, surveillance camera systems aim to observe a given area in order to in-, crease safety and security. Therefore, the presented research includes also analysis of automatic recognition algorithms. They are essential components to build active and automated control systems for many applications, and they will play significant role in our daily life in the near future. Special properties of the decision surface ensures high generalization ability of the learning machine. toll collection, traffic monitoring systems etc. Computer Standards & Interfaces 33(2), 142–151 (2011), Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up Robust Features (SURF). in robot guidance as well as character, license plate, ... & image transforms for detecting, extracting and calculating descriptors for various types of local features, e.g. eo sequences recorded by these cameras should not be less than 4CIF. 213–223. Additionally, integration with the IMCOP system is introduced. Many a times violating traffic rules leads to accidents. John Honovich, the founder of the video surveillance trade publication IPVM, says that on a scale of 1 to 10, interest in fever cameras is “like 110—it’s totally off the charts.” The result of. The reported results indicate a high recognition rate and a fast processing time, making the system suitable for real-time applications. 11. Special attention has been given to A smart camera combines video sensing, video processing and communication within a single device. performance and privacy issues, as the system includes social aspects such as location municipal ones) can use the, in the city to look for the car (a black Fo, the time of event as well as distance from the scene of the acciden, responsible. intelligent camera, surveillance system, vehicl, Predetermined parameters of the camera’s FOV, Successful ROI detection (equivalent to car, ace allows the user to control the iCamera, assifier predicts a class to which the car. Efficiency of both presented methods as well as their performance aspects are finally discussed and concluded. However, these charts also allow us to evaluate which frame rate of th, Taking into consideration the times reported earlier in this section, the a, ration of processing the single QI image in. A comparison of Finally, IMCOP’s advantages in reference to other content discovery platforms are discussed and summed up. As well as a CCD senso, ture with an embedded operating system pre-installed (Micr, Because of the embedded system, applicati, the range of communication protocols, inclu, using the popular and widely known Microsoft, opment Environment). Computer Vision and Image Understanding 110(3), 346–359 (2008), Cortes, C., Vapnik, V.: Support-vector networks. At its core, our smart camera implementation (known as the iCamera system), cialized modules (MMR, LPR, CR) have been written in C. To use their functionali-, ties as well as to exchange data between them and the system backbone (th. image containing the grill part of a car together with its headlights and indicator lig, Both ROIs are detected using two different Haar-like detectors, which have been, trained concurrently according to MMR (CR). the frame rate of the IP camera can be 10 or 11 fps. Proceedings of SPIE - The International Society for Optical Engineering. Selected results of tests illustrating how the IMCOP system performs in terms of responsiveness and stability under a particular workload are reported. 12, Charts presented in Figs. Extracted information can be used in many applications for example electronic, In this paper we design an intelligent traffic entrance guard system for double direction single track based on car license plate recognition. SURF descriptors calculated for, propriate Voc clusters, and a new SVoOC vect, vector as well as the SVM model, the SVM cl, Analysis of the classification accuracy for the RT approach was perf, ing to the Overall Success Rate measure (. tors closest to the optimal hyper-plane create the SVM model (Mod). However, statistical evaluation (taki, account a given number of successive frames w. after the last OCR step, can significantly increase this accuracy. This algorithm takes advantage of the feature of fixed color The proposed method separates crowds into individuals and facilitates a multi-object tracking system based on a Kalman filter. Through extensive experiments, this approach is proved to have a better performance on tilted license plate dataset in terms of accuracy and computational cost than other state-of-the-art methods. We suggest a novel algorithm detection in FOV) causes the GDE to activate the MMR, CR and LPR modules. Final accuracy in this case is proportional to the camera, frame rate. [17], the recognition accuracy of Tesseract, ounding the white license plate area as well, License plate ROIs (on the left) and results o, ven as the proportion of correctly recog-. Similarly, we can take for granted that the remaining pr. (11,386) Fig.11 also s. better when the white balance filter except in the case of the Pink–Red color range. Finally, a discussion of the system’s efficiency as a whole, with an insight into possible future improvements, is included in the conclusion. 1. According to their disparate assumption data of these implementations one is obligated to estimate different car models in milliseconds (with a bit less emphasis placed on its accuracy) while the other is aimed first of all to reach higher classification accuracy. Smart transportation, or Intelligent Transportation Systems (ITS) are central to the Smart City, and IntelliVision’s video analytics products are a key component in traffic signal control and monitoring systems, automatic number plate recognition (ALPR/ANPR) and speed cameras, to security video systems and smart … In this feature space a linear decision surface is constructed. 11 shows that the success rate of th, in the CRT table. Smart IoT cameras … According to performance parameters, the increase can be obtain, Our experiments show that using a mixed CPU/GPU architecture combined with, mance by more than 5-fold. like detectors have been reported in [9]. Up to now, more than 500 Tattile ANPR cameras have been deployed. The classification accuracy of the RT approach depends on the num, Fig. The ubiquitous presence of closed circuit cameras, vehicle plate detection systems and LED lane control lights has made traffic … look at the possible innovations in this field, by enhancing the functionality and accuracy In presented approach, faces are categorized according to similarities determined with regard to their ORB feature descriptors. The High-Pass Filter (HPF) method, designed to detect and extract contours from greyscale images is the first presented method. The idea behind the support-vector network was previously implemented for the restricted case where the training data can be separated without errors. The paper combines the capabilities of hardware and software into one integrated automatic system. Video transmission and analysis is often utilized in applications outside of the entertainment sector, and generally speaking this class of video is used to perform specific tasks. 6. without the use of the white balance filter are illustrated in Fig.
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