Download or read book Surveillance with UAV Videos written by İbrahim Delibaşoğlu and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAVs) and drones are now accessible to everyone and are widely used in civilian and military fields. In military applications, UAVs can be used in border surveillance to detect or track any moving object/target. The challenge of processing UAV images is the unpredictable background motions due to camera movement and small target sizes. In this chapter, a short literature brief will be discussed for moving object detection and long-term object tracking. Publicly available datasets in the literature are introduced. General approaches and success rates in the proposed methods are evaluated and approach to how deep learning-based solutions can be used together with classical methods are discussed. In addition to the methods in the literature for moving object detection problems, possible solution approaches for the challenges are also shared.
Download or read book Moving Object Detection and Segmentation for Remote Aerial Video Surveillance written by Teutsch, Michael and published by KIT Scientific Publishing. This book was released on 2015-03-11 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.
Download or read book Moving Object Detection and Segmentation for Remote Aerial Video Surveillance written by Michael Teutsch and published by . This book was released on 2020-10-09 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
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 P2prectify and MoB Video Mosaic for UAV Surveillance Applications written by Saengrawee Pratoomtong and published by . This book was released on 2020 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of video cameras onboard unmanned aerial vehicles (UAV) is a cost-effective alternative to traditional and aircraft platforms in surveillance and reconnaissance applications. Acquired video frames are often mosaicked into a panoramic image. Traditional image mosaic algorithms often yield distorted panoramic images and require excessive computational power, renders it unsuitable for time-critical applications. To address these challenges, we propose a Perspective-to-Parallel rectification (P2Prectify) and a Motion-Based video mosaic (MoB) algorithm. By recognizing that successive video frames acquired from UAVs are highly correlated and spatially dense, the execution time of a mosaic can be drastically reduced. As parallel projection images can be mosaicked efficiently, P2Prectify detects and rectifies perspective projection images prior to creating a mosaic without any [a priori] knowledge of the scene geological data or the UAV's camera parameters. Therefore, the accumulated error, caused by the scaling and skewing components of the projective transformations used to align the images, are eliminated. MoB video mosaic algorithm --- as its name may suggest --- uses motion information to facilitate the final panoramic image formation. MoB registration uses motion vectors of track points to estimate the camera motion. MoB composition consists of key frame and pixel selection mechanisms guided by the spatial distribution of the motion vectors. Because the motion vectors and their statistics can be obtained trivially, both MoB registration and composition are computationally simple and therefore can be implemented efficiently for real-time applications. Compared to the traditional feature-based image registration and stitching algorithms, the MoB algorithm exhibits significant improvement in both performance and execution time.
Download or read book Autonomous Navigation and Deployment of UAVs for Communication Surveillance and Delivery written by Hailong Huang and published by John Wiley & Sons. This book was released on 2022-09-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery Authoritative resource offering coverage of communication, surveillance, and delivery problems for teams of unmanned aerial vehicles (UAVs) Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery studies various elements of deployment of networks of unmanned aerial vehicle (UAV) base stations for providing communication to ground users in disaster areas, covering problems like ground traffic monitoring, surveillance of environmental disaster areas (e.g. brush fires), using UAVs in rescue missions, converting UAV video surveillance, and more. The work combines practical problems, implementable and computationally efficient algorithms to solve these problems, and mathematically rigorous proofs of each algorithm’s convergence and performance. One such example provided by the authors is a novel biologically inspired motion camouflage algorithm to covert video surveillance of moving targets by an unmanned aerial vehicle (UAV). All autonomous navigation and deployment algorithms developed in the book are computationally efficient, easily implementable in engineering practice, and based only on limited information on other UAVs of each and the environment. Sample topics discussed in the work include: Deployment of UAV base stations for communication, especially with regards to maximizing coverage and minimizing interference Deployment of UAVs for surveillance of ground areas and targets, including surveillance of both flat and uneven areas Navigation of UAVs for surveillance of moving areas and targets, including disaster areas and ground traffic monitoring Autonomous UAV navigation for covert video surveillance, offering extensive coverage of optimization-based navigation Integration of UAVs and public transportation vehicles for parcel delivery, covering both one-way and round trips Professionals in navigation and deployment of unmanned aerial vehicles, along with researchers, engineers, scientists in intersecting fields, can use Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery to gain general knowledge on the subject along with practical, precise, and proven algorithms that can be deployed in a myriad of practical situations.
Download or read book Panoramic Video for Efficient Ground Surveillance from Small Unmanned Air Vehicles written by Joseph Aaron Jackson and published by . This book was released on 2007 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: As unmanned air vehicle (UAV) utilization increases in Wilderness Search and Rescue (WiSAR) efforts, onboard sensors yielding more information will be desired. UAVs can assist WiSAR efforts by accelerating the ground search process through returning quality aerial footage of the terrain. Additionally, tracking the progress of a search by populating a digital map with video resolution data increases confidence that a comprehensive search of the region has been made.
Download or read book Artificial Intelligence and Security written by Xingming Sun and published by Springer Nature. This book was released on 2020-09-12 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 178 full papers and 8 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; Internet of things; information security; Part III: information security; big data and cloud computing; information processing.
Download or read book Intelligent Video Surveillance written by Yunqian Ma and published by CRC Press. This book was released on 2009-12-16 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7. How can such vast volumes of video data be stored, analyzed, indexed, and searched? How can advanced video analysis and systems autonomously recognize people and
Download or read book Video Search and Mining written by Dan Schonfeld and published by Springer Science & Business Media. This book was released on 2010-05-22 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.
Download or read book Video Surveillance Techniques and Technologies written by Zeljkovic, Vesna and published by IGI Global. This book was released on 2013-12-31 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems, emphasizing a wide variety of applications of security systems"--Provided by publisher.
Download or read book Multimodal Biometric Systems written by Rashmi Gupta and published by CRC Press. This book was released on 2021-09-26 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.
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 MoniSys Sensing Communication and Video Analysis in UAV Monitoring System written by Weijun Wang and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 20 years, visual data has taken over every aspect of our lives, and camera deployment has experienced an unprecedented increase. For example, in the USA and UK, there is one camera for every 8 people used for diverse applications, like surveillance and public safety. However, in many extreme conditions, pre-deploying cameras are not feasible. Fortunately, the development of UAVs let these agile, flexible, and powerful devices make up the limitation of pre-deployed cameras. While high-resolution visual data offers rich information about the sensing environment, it causes significa...
Download or read book Intelligent Video Surveillance Systems written by Jean-Yves Dufour and published by John Wiley & Sons. This book was released on 2012-12-14 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Belonging to the wider academic field of computer vision, video analytics has aroused a phenomenal surge of interest since the current millennium. Video analytics is intended to solve the problem of the incapability of exploiting video streams in real time for the purpose of detection or anticipation. It involves analyzing the videos using algorithms that detect and track objects of interest over time and that indicate the presence of events or suspect behavior involving these objects. The aims of this book are to highlight the operational attempts of video analytics, to identify possible driving forces behind potential evolutions in years to come, and above all to present the state of the art and the technological hurdles which have yet to be overcome. The need for video surveillance is introduced through two major applications (the security of rail transportation systems and a posteriori investigation). The characteristics of the videos considered are presented through the cameras which enable capture and the compression methods which allow us to transport and store them. Technical topics are then discussed – the analysis of objects of interest (detection, tracking and recognition), “high-level” video analysis, which aims to give a semantic interpretation of the observed scene (events, behaviors, types of content). The book concludes with the problem of performance evaluation.
Download or read book Big Data and Security written by Yuan Tian and published by Springer Nature. This book was released on 2020-08-13 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Big Data and Security, ICBDS 2019, held in Nanjing, China, in December 2019. The 37 revised full papers and 12 short papers were carefully reviewed and selected out of 251 submissions. The papers included in this book cover topics in cybersecurity & privacy, big data, blockchain & internet of things, security in cloud and fog computing, and artificial intelligence/ machine learning security.
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.
