Download or read book Analysis of the Applicability of Video Segmentation to Unmanned Aerial Vehicle Surveillance Video written by Bradley L. Pyburn and published by . This book was released on 1999-03-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this research is to determine if applying edge detection segmentation (proposed by Ramin Zabih, Justin Miller, and Kevin Mai) to Unmanned Aerial Vehicle (UAV) video footage can provide meaningful segments for database storage and retrieval. The edge detection segmentation algorithm is applied to fifty-four UAV video sequences containing visual effects such as abrupt camera changes, camera zooms, motion (rapid and gradual), and cloud cover while varying the frame rate from 5 fps to 30 fps. An analysis of the results is performed to compare actual versus expected outcomes, similar sequences, and scenes with motion, along with explaining false positives/anomalies. Although the frame rate variation and analysis of the scenes with cloud cover are inconclusive, applying the edge detection segmentation algorithm to abrupt changes, rapid motion, and camera zooms produced favorable results, as these were all detected as scene changes. Several near-term and long-term benefits can be drawn from these results, and are provided at the conclusion of the paper, along with recommendations for future research.
Download or read book Analysis of the Applicability of Video Segmentation to Unmanned Aerial Vehicle Surveillance Video written by Bradley L. Pyburn (1LT, USAF.) and published by . This book was released on 1999 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Key Frame Extraction of Surveillance Video Based on Motion Analysis written by Yunzuo Zhang and published by Scientific Research Publishing, Inc. USA. This book was released on 2021-01-29 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveillance video has a wide range of applications in many fields, such as national economic construction, public security information construction, and widely adopted countries worldwide. The infrastructure of the video surveillance system has begun to take shape and is still rapid expansion. As thousands of surveillance cameras monitor and record round the clock, the amount of video data has been explosive growth. Finding the required information in a large number of surveillance videos is undoubtedly a needle in a haystack. Motion is a significant feature of video, and much meaningful visual information is contained in the movement. In many application scenarios, like road traffic monitoring, security for major events, guidance for military aircraft, and autonomous vehicle, people tend to pay more attention to the moving object. The analysis shows that the key frame extraction of surveillance video based on motion analysis has important practical significance. Hence, this book puts forward several key frame extraction methods of surveillance video around capturing the target motion state.
Download or read book Video Segmentation and Its Applications written by King Ngi Ngan and published by Springer Science & Business Media. This book was released on 2011-05-10 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video segmentation has become one of the core areas in visual signal processing research. The objective of Video Segmentation and Its Applications is to present the latest advances in video segmentation and analysis techniques while covering the theoretical approaches, real applications and methods being developed in the computer vision and video analysis community. The book will also provide researchers and practitioners a comprehensive understanding of state-of-the-art of video segmentation techniques and a resource for potential applications and successful practice.
Download or read book Automated Video Processing and Scene Understanding for Intelligent Video Surveillance written by Yu-Chia Chung and published by . This book was released on 2010 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in key technologies have enabled the deployment of surveillance video cameras on various platforms, including stationary security cameras for infrastructure protection and public safety, UAV (unmanned aerial vehicles) cameras for persistent surveillance of battlefield, and cameras on mobile agents, such as vehicles, robots, and soldiers for site survey. There is an urgent need to develop advanced computational methods and tools for automated video processing and scene understanding to support various applications. In this dissertation, we develop advanced video processing and computer vision methods for automated video processing and scene understanding. We concentrate our efforts on the following four tightly coupled tasks: (1) Aerial video registration and moving object detection. We develop new similarity measures for local motion estimation and a reliability model to analyze the reliability of local motion estimation. Based on these two components, we develop a fast and reliable global camera motion estimation and video registration for aerial video surveillance. (2) 3-D change detection from moving cameras. We study the problem of detecting changes from multi-source videos which are captured by different moving cameras with unknown parameters at different times. We attack this problem by exploring a hierarchy of view-invariant image patch descriptors. Based on multi-scale local binary pattern (LBP) description of super-pixels and middle-level image patch labeling, we construct a hierarchy of image patch descriptors and detect changes in the video scene using multi-scale information fusion. (3) Cross-view building matching and retrieval from aerial surveillance videos. Identifying and matching buildings between camera views is useful for scene understanding, battlefield surveillance, geo-location and geo-tagging of videos and photos. Our central idea is to construct a semantically rich sketch-based representation for buildings which is invariant under large scale and perspective changes. (4) Collaborative video compression for UAV surveillance network. We study the problem of a network of small UAVs with limited computational and communication resources to perform collaborative video surveillance of the target environment. Based on distributed video coding, we develop a collaborative video compression scheme for a UAV surveillance network. Our extensive experimental results demonstrate that the proposed methods and tools for automated video processing and scene understanding are efficient and promising for surveillance applications.
Download or read book Video Object Segmentation written by Ning Xu and published by Springer. This book was released on 2023-12-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video understanding in computer vision. Segmenting unique objects in a given video is useful for a variety of applications, including video conference, video editing, surveillance, and autonomous driving. Given the revolution of deep learning in computer vision problems, numerous new tasks, datasets, and methods have been recently proposed in the domain of segmentation. The book includes these recent results and findings in large-scale video object segmentation as well as benchmarks in large-scale human-centric video analysis in complex events. The authors provide readers with a comprehensive understanding of the challenges involved in video object segmentation, as well as the most effective methods for resolving them.
Download or read book Advances in Image and Video Segmentation written by Zhang, Yu-Jin and published by IGI Global. This book was released on 2006-05-31 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book attempts to bring together a selection of the latest results of state-of-the art research in image and video segmentation, one of the most critical tasks of image and video analysis that has the objective of extracting information (represented by data) from an image or a sequence of images (video)"--Provided by publisher.
Download or read book Fusion based Video Segmentation and Summarization written by John K. Dixon and published by . This book was released on 2003 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Airborne Traffic Surveillance Systems written by and published by . This book was released on 2005 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Methods and Deep Learning in Computer Vision written by E. R. Davies and published by Academic Press. This book was released on 2021-11-09 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students. - Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field - Illustrates principles with modern, real-world applications - Suitable for self-learning or as a text for graduate courses
Download or read book Distributed Video Sensor Networks written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2011-01-04 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a challenging area of research. Collecting the work of leading researchers from a broad range of disciplines, this timely text/reference offers an in-depth survey of the state of the art in distributed camera networks. The book addresses a broad spectrum of critical issues in this highly interdisciplinary field: current challenges and future directions; video processing and video understanding; simulation, graphics, cognition and video networks; wireless video sensor networks, communications and control; embedded cameras and real-time video analysis; applications of distributed video networks; and educational opportunities and curriculum-development. Topics and features: presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks; provides real-world applications of distributed video networks, including force protection, wide area activities, port security, and recognition in night-time environments; describes the challenges in graphics and simulation, covering virtual vision, network security, human activities, cognitive architecture, and displays; examines issues of multimedia networks, registration, control of cameras (in simulations and real networks), localization and bounds on tracking; discusses system aspects of video networks, with chapters on providing testbed environments, data collection on activities, new integrated sensors for airborne sensors, face recognition, and building sentient spaces; investigates educational opportunities and curriculum development from the perspective of computer science and electrical engineering. This unique text will be of great interest to researchers and graduate students of computer vision and pattern recognition, computer graphics and simulation, image processing and embedded systems, and communications, networks and controls. The large number of example applications will also appeal to application engineers.
Download or read book Artificial Intelligence Computer and Software Engineering Advances written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2021-04-20 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 26–30 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering
Download or read book Next generation Communication and Sensor Networks 2006 written by Mohammed Atiquzzaman and published by SPIE-International Society for Optical Engineering. This book was released on 2006 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Download or read book Progress in Pattern Recognition Image Analysis Computer Vision and Applications written by Eduardo Bayro-Corrochano and published by Springer. This book was released on 2009-11-16 with total page 1082 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community. The conference was held in Guadalajara, Jalisco, Mexico and organized by the Mexican Association for Computer Vision, Neural Computing and Robotics (MACVNR). It was sponsodred by MACVNR and ?ve other Iberoamerican PR societies. CIARP 2009 was like the previous conferences in the series supported by the International Association for Pattern Recognition (IAPR). CIARP 2009 attracted participants from all over the world presenting sta- of-the-artresearchon mathematical methods and computing techniques for p- tern recognition, computer vision, image and signal analysis, robot vision, and speech recognition, as well as on a wide range of their applications. This time the conference attracted participants from 23 countries,9 in Ibe- america, and 14 from other parts of the world. The total number of submitted papers was 187, and after a serious review process 108 papers were accepted, all of them with a scienti?c quality above overall mean rating. Sixty-four were selected as oral presentations and 44 as posters. Since 2008 the conference is almost single track, and therefore there was no real grading in quality between oral and poster papers. As an acknowledgment that CIARP has established itself as a high-quality conference, its proceedings appear in the Lecture Notes in Computer Science series. Moreover, its visibility is further enhanced by a selection of a set of papers that will be published in a special issue of the journal Pattern Recognition Letters.
Download or read book Tracking and Activity Analysis in Wide Area Aerial Surveillance Video written by Ryan K. Feather and published by . This book was released on 2011 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In this work, we provide tracking and activity analysis of an aerial video data set. We propose algorithms that are both scalable and able to handle the additional challenges presented by this form of data. Specifically, we present a method that consists of two main parts: track extraction and traffic activity analysis. After a preprocessing stabilization step, we use a constrained interest point matching algorithm to generate tracking data of vehicles in the scene. Finally, we present algorithms that use this data to recognize traffic activity patterns such as traffic direction, bidirectional roads, bidirectional stops, and accelerations/ decelerations via analysis of average speed patterns. We provide a thorough analysis of our results, including quantitative analysis of our activity analysis algorithms.
Download or read book Incorporating Scene Mosaics as Visual Indexes Into UAV Video Imagery Databases written by Timothy Page and published by . This book was released on 1999-03-01 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of large digital video archives has strengthened the need for more efficient ways of indexing video files an accessing the information contained in them. Reconnaissance platforms, such as the Predator UAV, are contributing thousands of hours of video footage that require analysis, storage, and retrieval. A process is proposed for converting a video stream into a series of mosaic and selected still images that provide complete coverage of the original video. The video mosaic images can be utilized as visual indexes into a video database. in addition, mosaic images contain information from an entire sequence of video frames to provide "at a glance" analysis capabilities. Actual reconnaissance video footage is converted to still-image representation using the proposed process and the results are discussed. Further, a web-based browse and search capability was developed to demonstrate the benefits of using the proposed process. Further, the Predator Unmanned Aerial Vehicle (UAV) system configuration is described with recommendations for placement of the video mosaic building process proposed in this research.
Download or read book Spatial Data and Intelligence written by Xiaofeng Meng and published by Springer Nature. This book was released on with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
