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Author : Chaitanya Gurrapu
Publisher :
ISBN 13 :
Total Pages : 107 pages
Book Rating : 4.:/5 (224 download)
Download or read book Human Action Recognition in Video Data for Surveillance Applications written by Chaitanya Gurrapu and published by . This book was released on 2004 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jiang Wang
Publisher : Springer Science & Business Media
ISBN 13 : 331904561X
Total Pages : 65 pages
Book Rating : 4.3/5 (19 download)
Download or read book Human Action Recognition with Depth Cameras written by Jiang Wang and published by Springer Science & Business Media. This book was released on 2014-01-25 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers and practitioners.
Author : Haoran Wei
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (123 download)
Download or read book Deep Learning Solutions for Continuous Action Recognition Using Fusion of Inertial and Video Sensing and for Far Field Video Surveillance written by Haoran Wei and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation addresses deep learning solutions for two applications. The first application involves performing continuous human action recognition by simultaneous utilization of inertial and video sensing. The objective in this application is to achieve a more robust continuous action recognition compared to using a single sensing modality by simultaneously utilizing a video camera and a wearable inertial sensor. A deep learning solution is developed that differs from the action recognition approaches reported in the literature in two ways: (i) The detection and recognition of actions are carried out for continuous action streams and not on segmented actions, which is the assumption normally made in existing action recognition approaches. (ii) It provides the first attempt at using video and inertial sensing together or simultaneously in order to achieve continuous action recognition. As part of this effort, a Continuous Multimodal Human Action Dataset (named C-MHAD) is collected and made publicly available. The second application involves detecting persons and the load they carry in far field video surveillance data. The objective in this application is to detect persons and to classify the load carried by them from video data captured from distances several miles away via high-power lens video cameras. A deep learning solution is developed to cope with the following two major challenges: (i) Far field video data suffer from various noises caused by wind, heat haze, and the camera being out of focus thus generating blurriness of persons appearing in video images. (ii) The available dataset is small and lack no frame-level labels. The results obtained indicate the effectiveness of the developed deep learning solutions.
Author : Zhongxu Hu
Publisher : Springer Nature
ISBN 13 : 981192290X
Total Pages : 130 pages
Book Rating : 4.8/5 (119 download)
Download or read book Vision-Based Human Activity Recognition written by Zhongxu Hu and published by Springer Nature. This book was released on 2022-04-22 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a systematic, comprehensive, and timely review on V-HAR, and it covers the related tasks, cutting-edge technologies, and applications of V-HAR, especially the deep learning-based approaches. The field of Human Activity Recognition (HAR) has become one of the trendiest research topics due to the availability of various sensors, live streaming of data and the advancement in computer vision, machine learning, etc. HAR can be extensively used in many scenarios, for example, medical diagnosis, video surveillance, public governance, also in human–machine interaction applications. In HAR, various human activities such as walking, running, sitting, sleeping, standing, showering, cooking, driving, abnormal activities, etc., are recognized. The data can be collected from wearable sensors or accelerometer or through video frames or images; among all the sensors, vision-based sensors are now the most widely used sensors due to their low-cost, high-quality, and unintrusive characteristics. Therefore, vision-based human activity recognition (V-HAR) is the most important and commonly used category among all HAR technologies. The addressed topics include hand gestures, head pose, body activity, eye gaze, attention modeling, etc. The latest advancements and the commonly used benchmark are given. Furthermore, this book also discusses the future directions and recommendations for the new researchers.
Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522552057
Total Pages : 2494 pages
Book Rating : 4.5/5 (225 download)
Download or read book Computer Vision: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-02-02 with total page 2494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
Author : Luca Oneto
Publisher : Springer
ISBN 13 : 3030243591
Total Pages : 132 pages
Book Rating : 4.0/5 (32 download)
Download or read book Model Selection and Error Estimation in a Nutshell written by Luca Oneto and published by Springer. This book was released on 2019-07-17 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.
Author : Srilatha V.
Publisher : Infinite Study
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4./5 ( download)
Download or read book A Unified Framework for Human Activity Detection and Recognition for Video Surveillance Using Dezert Smarandache Theory written by Srilatha V. and published by Infinite Study. This book was released on with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trustworthy contextual data of human action recognition of remotely monitored person who requires medical care should be generated to avoid hazardous situation and also to provide ubiquitous services in home-based care. It is difficult for numerous reasons. At first level, the data obtained from heterogeneous source have different level of uncertainty. Second level generated information can be corrupted due to simultaneous operations. In this paper human action recognition can be done based on two different modality consisting of fully featured camera and wearable sensor.
Author : Meenakshi Tripathi
Publisher : Springer Nature
ISBN 13 : 3030671879
Total Pages : 376 pages
Book Rating : 4.0/5 (36 download)
Download or read book Conference Proceedings of ICDLAIR2019 written by Meenakshi Tripathi and published by Springer Nature. This book was released on 2021-02-08 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book includes the results from the International Conference on Deep Learning, Artificial Intelligence and Robotics, held in Malaviya National Institute of Technology, Jawahar Lal Nehru Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017. The scope of this conference includes all subareas of AI, with broad coverage of traditional topics like robotics, statistical learning and deep learning techniques. However, the organizing committee expressly encouraged work on the applications of DL and AI in the important fields of computer/electronics/electrical/mechanical/chemical/textile engineering, health care and agriculture, business and social media and other relevant domains. The conference welcomed papers on the following (but not limited to) research topics: · Deep Learning: Applications of deep learning in various engineering streams, neural information processing systems, training schemes, GPU computation and paradigms, human–computer interaction, genetic algorithm, reinforcement learning, natural language processing, social computing, user customization, embedded computation, automotive design and bioinformatics · Artificial Intelligence: Automatic control, natural language processing, data mining and machine learning tools, fuzzy logic, heuristic optimization techniques (membrane-based separation, wastewater treatment, process control, etc.) and soft computing · Robotics: Automation and advanced control-based applications in engineering, neural networks on low powered devices, human–robot interaction and communication, cognitive, developmental and evolutionary robotics, fault diagnosis, virtual reality, space and underwater robotics, simulation and modelling, bio-inspired robotics, cable robots, cognitive robotics, collaborative robotics, collective and social robots and humanoid robots It was a collaborative platform for academic experts, researchers and corporate professionals for interacting their research in various domain of engineering like robotics, data acquisition, human–computer interaction, genetic algorithm, sentiment analysis as well as usage of AI and advanced computation in various industrial challenges based applications such as user customization, augmented reality, voice assistants, reactor design, product formulation/synthesis, embedded system design, membrane-based separation for protecting environment along with wastewater treatment, rheological properties estimation for Newtonian and non-Newtonian fluids used in micro-processing industries and fault detection.
Author : Yun Fu
Publisher : Springer
ISBN 13 : 3319270044
Total Pages : 179 pages
Book Rating : 4.3/5 (192 download)
Download or read book Human Activity Recognition and Prediction written by Yun Fu and published by Springer. This book was released on 2015-12-23 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.
Author : Rama Chellappa
Publisher : Morgan & Claypool Publishers
ISBN 13 : 159829007X
Total Pages : 179 pages
Book Rating : 4.5/5 (982 download)
Download or read book Recognition of Humans and Their Activities Using Video written by Rama Chellappa and published by Morgan & Claypool Publishers. This book was released on 2006-01-01 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusion of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.
Author : Liang Wang
Publisher : Springer Science & Business Media
ISBN 13 : 0857290576
Total Pages : 377 pages
Book Rating : 4.8/5 (572 download)
Download or read book Machine Learning for Vision-Based Motion Analysis written by Liang Wang and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.
Author : Santosh Kumar Tripathy
Publisher : Springer Nature
ISBN 13 : 3031516605
Total Pages : 145 pages
Book Rating : 4.0/5 (315 download)
Download or read book Advances in Human Activity Detection and Recognition (HADR) Systems written by Santosh Kumar Tripathy and published by Springer Nature. This book was released on with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dey, Nilanjan
Publisher : IGI Global
ISBN 13 : 1522510230
Total Pages : 321 pages
Book Rating : 4.5/5 (225 download)
Download or read book Applied Video Processing in Surveillance and Monitoring Systems written by Dey, Nilanjan and published by IGI Global. This book was released on 2016-10-11 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video monitoring has become a vital aspect within the global society as it helps prevent crime, promote safety, and track daily activities such as traffic. As technology in the area continues to improve, it is necessary to evaluate how video is being processed to improve the quality of images. Applied Video Processing in Surveillance and Monitoring Systems investigates emergent techniques in video and image processing by evaluating such topics as segmentation, noise elimination, encryption, and classification. Featuring real-time applications, empirical research, and vital frameworks within the field, this publication is a critical reference source for researchers, professionals, engineers, academicians, advanced-level students, and technology developers.
Author : Amit Kumar
Publisher : Springer Nature
ISBN 13 : 9811514208
Total Pages : 2010 pages
Book Rating : 4.8/5 (115 download)
Download or read book ICDSMLA 2019 written by Amit Kumar and published by Springer Nature. This book was released on 2020-05-19 with total page 2010 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Author : IEEE Staff
Publisher :
ISBN 13 : 9781728192758
Total Pages : pages
Book Rating : 4.1/5 (927 download)
Download or read book 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) written by IEEE Staff and published by . This book was released on 2020-11-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: SIBGRAPI Conference on Graphics, Patterns and Images, formerly known as the Brazilian Symposium on Computer Graphics and Image Processing, is a traditional event in the areas of Computer Graphics, Visualization, Image Processing, Computer Vision, and Pattern Recognition, among together It annually brings together researchers, professors, professionals, and students who act or have an interest in the event s topics SIBGRAPI is an event of the Brazilian Computer Society (SBC) SIBGRAPI is a consolidated event, included in the international calendar of events in the focus areas Several facts highlight SIBGRAPI among the other international scientific events organized in Brazil and by researchers and institutions in the country Its program committee is composed of renowned Brazilian and foreign researchers The proceedings have been published in English by the CPS since 1997 All these editions are available at IEEE Xplore Digital Library, increasing the visibility of Brazil
Author : Wei Lu
Publisher : Springer Science & Business Media
ISBN 13 : 364234531X
Total Pages : 957 pages
Book Rating : 4.6/5 (423 download)
Download or read book Proceedings of the 2012 International Conference on Information Technology and Software Engineering written by Wei Lu and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 957 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 2012 International Conference on Information Technology and Software Engineering presents selected articles from this major event, which was held in Beijing, December 8-10, 2012. This book presents the latest research trends, methods and experimental results in the fields of information technology and software engineering, covering various state-of-the-art research theories and approaches. The subjects range from intelligent computing to information processing, software engineering, Web, unified modeling language (UML), multimedia, communication technologies, system identification, graphics and visualizing, etc. The proceedings provide a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances, which can serve as an excellent reference work for researchers and graduate students working on information technology and software engineering. Prof. Wei Lu, Dr. Guoqiang Cai, Prof. Weibin Liu and Dr. Weiwei Xing all work at Beijing Jiaotong University.
Author : António J. R. Neves
Publisher :
ISBN 13 : 1789850274
Total Pages : 168 pages
Book Rating : 4.7/5 (898 download)
Download or read book Intelligent Video Surveillance written by António J. R. Neves and published by . This book was released on 2019-03-13 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of Intelligent video surveillance systems is to efficiently extract useful information from a considerable number of videos collected by surveillance cameras by automatically detecting, tracking and recognizing objects of interest, and understanding and analyzing their activities. Video surveillance has a huge amount of applications, from public to private places. These applications require monitoring indoor and outdoor scenes. Nowadays, there are a considerable number of digital surveillance cameras collecting a huge amount of data on a daily basis. Researchers are urged to develop intelligent systems to efficiently extract and visualize useful information from this big data source. The exponential effort on the development of new algorithms and systems for video surveillance is confirmed by the amount of effort invested in projects and companies, the creation on new startups worldwide and, not less important, in the quantity and quality of the manuscripts published in a considerable number of journals and conferences worldwide. This book is an outcome of research done by several researchers who have highly contributed to the field of Video Surveillance. The main goal is to present recent advances in this important topic for the Image Processing community.
