Download or read book Detection and Classification of Moving Objects for an Automated Surveillance System written by and published by . This book was released on 2006 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automated Multi Camera Surveillance written by Omar Javed and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry. Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called “KNIGHT” is described, along with the authors’ experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.

Download or read book Computer Vision based Surveillance of Vehicles and Pedestrians in a Shared use Vehicle System Environment written by Zhiyu He and published by . This book was released on 2002 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Moving Objects Detection Using Machine Learning written by Navneet Ghedia and published by Springer Nature. This book was released on 2022-01-01 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.

Download or read book Moving Object Detection and Classification for Smart Surveillance System written by Mohammad Ariff bin Rashidan and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the International Conference on ISMAC in Computational Vision and Bio Engineering 2018 ISMAC CVB written by Durai Pandian and published by Springer. This book was released on 2019-01-01 with total page 1869 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them. The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc. ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering.

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 Semantic Hyper Multimedia Adaptation written by Ioannis E. Anagnostopoulos and published by Springer. This book was released on 2012-07-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, more and more users are witnessing the impact of Hypermedia/Multimedia as well as the penetration of social applications in their life. Parallel to the evolution of the Internet and Web, several Hypermedia/Multimedia schemes and technologies bring semantic-based intelligent, personalized and adaptive services to the end users. More and more techniques are applied in media systems in order to be user/group-centric, adapting to different content and context features of a single or a community user. In respect to all the above, researchers need to explore and study the plethora of challenges that emergent personalisation and adaptation technologies bring to the new era. This edited volume aims to increase the awareness of researchers in this area. All contributions provide an in-depth investigation on research and deployment issues, regarding already introduced schemes and applications in Semantic Hyper/Multimedia and Social Media Adaptation. Moreover, the authors provide survey-based articles, so as potential readers can use it for catching up the recent trends and applications in respect to the relevant literature. Finally, the authors discuss and present their approach in the respective field or problem addressed.

Download or read book Mathematical Models Using Artificial Intelligence for Surveillance Systems written by Padmesh Tripathi and published by John Wiley & Sons. This book was released on 2024-09-18 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces. Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing. The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.

Download or read book Multimedia Content Representation Classification and Security written by Bilge Gunsel and published by Springer Science & Business Media. This book was released on 2006-09-04 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006. The book presents 100 revised papers together with 4 invited lectures. Coverage includes biometric recognition, multimedia content security, steganography, watermarking, authentication, classification for biometric recognition, digital watermarking, content analysis and representation, 3D object retrieval and classification, representation, analysis and retrieval in cultural heritage, content representation, indexing and retrieval, and more.

Download or read book Intelligent Surveillance Systems written by Huihuan Qian and published by Springer Science & Business Media. This book was released on 2011-03-19 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveillance systems have become increasingly popular. Full involvement of human operators has led to shortcomings, e.g. high labor cost, limited capability for multiple screens, inconsistency in long-duration, etc. Intelligent surveillance systems (ISSs) can supplement or even replace traditional ones. In ISSs, computer vision, pattern recognition, and artificial intelligence technologies are used to identify abnormal behaviours in videos. They present the development of real-time behaviour-based intelligent surveillance systems. The book focuses on the detection of individual abnormal behaviour based on learning and the analysis of dangerous crowd behaviour based on texture and optical flow. Practical systems include a real-time face classification and counting system, a surveillance robot system that utilizes video and audio information for intelligent interaction, and a robust person counting system for crowded environments.

Download or read book Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation EITRT 2021 written by Jianying Liang and published by Springer Nature. This book was released on 2022-02-18 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchers and graduate students working on rail transportation and electrical and information technologies.

Download or read book Classification of Moving Objects and Recognition of Human Activity Using Infrared Surveillance Sensors written by Jakir Hossen and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear pyroelectric array sensors have enabled useful classifications of objects such as humans and animals to be performed with relatively low cost hardware in border and perimeter security applications. Ongoing research has sought to improve the performance of these sensors through signal processing algorithms. In this thesis, we introduce the use of Hidden Markov Tree (HMT) models for object recognition in images generated by linear pyroelectric sensors. HMTs are trained to statistically model the wavelet features of individual objects through an expectation-maximization (EM) learning process. Human versus animal classification for a test object is made by evaluating its wavelet features against the trained HMTs using the maximum-likelihood (ML) criterion. The classification performance of this approach is compared to two other techniques; a texture, shape, and spectral component feature (TSSF) based classifier and a speeded up robust feature (SURF) based classifier. The evaluation indicates that among the three techniques, the wavelet based HMT model works well, is robust, and has improved classification performance compared to a SURF features based algorithm in equivalent computation time. When compared to the TSSF based classifier, the HMT model has slightly degraded performance but almost an order of magnitude improvement in computation time enabling real time implementation. A second goal of this research is to classify the activity of objects identified as human. If the linear pyroelectric array sensor identifies the object as human, this then triggers a thermal video camera to capture video. From the video then, the goal is to recognize the activity as either suspicious or not based on a stored activity database. Recognition of human activity is crucial for surveillance and monitoring systems. In this thesis, we investigate the recognition of motion based activity in thermal infrared video. The segmentation of human poses or motions from known or unknown backgrounds is always a challenging task due to the lighting conditions and the colors of clothing and surfaces. ViBe: A universal background segmentation technique has been employed to improve the pose segmentation from the background. We have proposed a contrast based spatio-temporal template named temporal contrast image (TCI) which can capture small motion and is useful for repetitive and non-repetitive activity recognition. Hu's moment invariant feature descriptor and Naive Bayesian classifier are used for activity recognition. We have also combined our approach with existing spatio-temporal image formation techniques such as the gait energy image (GEI), motion energy image (MEI) and motion history image (MHI) for performance comparison. Experimental results on a limited set of activities demonstrate the effectiveness of our proposed approach. The method proposed in this work outperforms the statistical method for non-repetitive activity recognition. The overall goal of this research is to create a simple surveillance system that has real time moving object detection together with classification and human activity recognition. The profiling sensors described in this dissertation are relatively simple devices when compared to typical imaging cameras.

Download or read book Proceedings of the International Conference on Soft Computing Systems written by L. Padma Suresh and published by Springer. This book was released on 2015-12-07 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in International Conference on Soft Computing Systems (ICSCS 2015) held at Noorul Islam Centre for Higher Education, Chennai, India. These research papers provide the latest developments in the emerging areas of Soft Computing in Engineering and Technology. The book is organized in two volumes and discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Download or read book Artificial Intelligence and Integrated Intelligent Information Systems written by Xuan F. Zha and published by IGI Global. This book was released on 2007-01-01 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.

Download or read book Moving Object Detection Using Background Subtraction written by Soharab Hossain Shaikh and published by Springer. This book was released on 2014-06-20 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

Download or read book Proceedings of the Fourth International Conference on Signal and Image Processing 2012 ICSIP 2012 written by Mohan S and published by Springer Science & Business Media. This book was released on 2013-01-11 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings includes cutting-edge research articles from the Fourth International Conference on Signal and Image Processing (ICSIP), which is organised by Dr. N.G.P. Institute of Technology, Kalapatti, Coimbatore. The Conference provides academia and industry to discuss and present the latest technological advances and research results in the fields of theoretical, experimental, and application of signal, image and video processing. The book provides latest and most informative content from engineers and scientists in signal, image and video processing from around the world, which will benefit the future research community to work in a more cohesive and collaborative way.