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Aspects Of Time For Recognizing Human Activities
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Book Synopsis Aspects of Time for Recognizing Human Activities by : Noureldien Hussein
Download or read book Aspects of Time for Recognizing Human Activities written by Noureldien Hussein and published by . This book was released on 2021 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Aspects of Time for Recognizing Human Activities by : Noureldien Hussein
Download or read book Aspects of Time for Recognizing Human Activities written by Noureldien Hussein and published by Noureldien Hussein. This book was released on 2020-12-01 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis contributes to the literature of understanding and recognizing human activities in videos. More specifically, the thesis draw line between short-range atomic actions and long-range complex activities. For the classification of the latter, the mainstream approach in literature is to divide the activity into a handful of short segments, called atomic actions. Then, a neural model, such as 3D CNN, is trained to represent and classify each segment independently. Then, the activity-level classification probability scores are obtained by pooling over that of the segments. Differently, this work argues that long-range activities are better classified in full. That is to say, the neural model has to reason about the long-range activity, all at once, to better recognize it. Based on this argument, the thesis proposes different methods and neural network models for recognizing these complex activities.
Book Synopsis Human Activity Recognition by : Miguel A. Labrador
Download or read book Human Activity Recognition written by Miguel A. Labrador and published by CRC Press. This book was released on 2013-12-05 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sen
Book Synopsis Computer Vision - ECCV 2008 by : David Hutchison
Download or read book Computer Vision - ECCV 2008 written by David Hutchison and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
Book Synopsis Human Activity Recognition by : Miguel A. Labrador
Download or read book Human Activity Recognition written by Miguel A. Labrador and published by CRC Press. This book was released on 2013-12-05 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Design and Implement HAR Systems The pervasiveness and range of capabilities of today’s mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors—a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations. Developed from the authors’ nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user’s activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.
Book Synopsis Analysis and recognition of human actions with flow features and temporal models by : Kuehne, Hildegard
Download or read book Analysis and recognition of human actions with flow features and temporal models written by Kuehne, Hildegard and published by KIT Scientific Publishing. This book was released on 2015-06-30 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work focuses the recognition of complex human activities in video data. A combination of new features and techniques from speech recognition is used to realize a recognition of action units and their combinations in video sequences. The presented approach shows how motion information gained from video data can be used to interpret the underlying structural information of actions and how higher level models allow an abstraction of different motion categories beyond simple classification.
Book Synopsis Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security by : Guesgen, Hans W.
Download or read book Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security written by Guesgen, Hans W. and published by IGI Global. This book was released on 2013-03-31 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, the ICT field has seen a shift from machine-centered focuses to human and user knowledge-based approaches. However, as priorities shift, questions arise on how to detect and monitor users behavior. Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security takes an insightful look into the applications and dependability of behavior detection. In addition, this comprehensive publication looks into the social, ethical, and legal implications of these areas. Researchers and practitioners interested in the computational aspects of behavior monitoring as well as the ethical and legal implications will find this reference source beneficial.
Book Synopsis Advances in Human Activity Detection and Recognition (HADR) Systems by : Santosh Kumar Tripathy
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:
Book Synopsis Berkshire Encyclopedia of Human-computer Interaction by : William Sims Bainbridge
Download or read book Berkshire Encyclopedia of Human-computer Interaction written by William Sims Bainbridge and published by Berkshire Publishing Group LLC. This book was released on 2004 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a collection of articles on human-computer interaction, covering such topics as applications, methods, hardware, and computers and society.
Book Synopsis Proceedings of International Conference on Recent Innovations in Computing by : Yashwant Singh
Download or read book Proceedings of International Conference on Recent Innovations in Computing written by Yashwant Singh and published by Springer Nature. This book was released on 2023-05-16 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on August 13–14, 2022, organized by the ELTE, Hungary in association with Knowledge University, Erbil and many academic and industry partners which includes; European Institute of Data Analytics (EiDA), Dublin, Ireland and CSRL Lab, India . The book is second part of the two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Book Synopsis Human Activity Recognition and Prediction by : Yun Fu
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.
Book Synopsis Sensor-Based Human Activity Recognition for Assistive Health Technologies by : Muhammad Adeel Nisar
Download or read book Sensor-Based Human Activity Recognition for Assistive Health Technologies written by Muhammad Adeel Nisar and published by Logos Verlag Berlin GmbH. This book was released on 2023-02-20 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The average age of people has increased due to advances in health sciences, which has led to an increase in the elderly population. This is positive news, but it also raises questions about the quality of independent living for older people. Clinicians use Activities of Daily Living (ADLs) to assess older people's ability to live independently. In recent years, portable computing devices have become more present in our daily lives. Therefore, a software system that can detect ADLs based on sensor data collected from wearable devices is beneficial for detecting health problems and supporting health care. In this context, this book presents several machine learning-based approaches for human activity recognition (HAR) using time-series data collected by wearable sensors in the home environment. In the first part of the book, machine learning-based approaches for atomic activity recognition are presented, which are relatively simple and short-term activities. In the second part, the algorithms for detecting long-term and complex ADLs are presented. In this part, a two-stage recognition framework is also presented, as well as an online recognition system for continuous monitoring of HAR. In the third and final part, a novel approach is proposed that not only solves the problem of data scarcity but also improves the performance of HAR by implementing multitask learning-based methods. The proposed approach simultaneously trains the models of short- and long-term activities, regardless of their temporal scale. The results show that the proposed approach improves classification performance compared to single-task learning.
Book Synopsis MultiMedia Modeling by : Ioannis Kompatsiaris
Download or read book MultiMedia Modeling written by Ioannis Kompatsiaris and published by Springer. This book was released on 2018-12-20 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11295 and 11296 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2019, held in Thessaloniki, Greece, in January 2019. Of the 172 submitted full papers, 49 were selected for oral presentation and 47 for poster presentation; in addition, 6 demonstration papers, 5 industry papers, 6 workshop papers, and 6 papers for the Video Browser Showdown 2019 were accepted. All papers presented were carefully reviewed and selected from 204 submissions.
Book Synopsis Smartphone-Based Human Activity Recognition by : Jorge Luis Reyes Ortiz
Download or read book Smartphone-Based Human Activity Recognition written by Jorge Luis Reyes Ortiz and published by Springer. This book was released on 2015-01-14 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
Book Synopsis Human Action Recognition with Depth Cameras by : Jiang Wang
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.
Book Synopsis Human Activity Recognition in Video by : Ross Messing
Download or read book Human Activity Recognition in Video written by Ross Messing and published by . This book was released on 2011 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This thesis explores the problem of recognizing complex human activities involving the manipulation of objects in high resolution video. Inspired by human psychophysical performance, I develop and evaluate an activity recognition feature derived from the velocity histories of tracked keypoints. These features have a much greater spatial and temporal range than existing video features. I show that a generative mixture model using these features performs comparably to local spatio-temporal features on the KTH activity recognition dataset. I additionally introduce and explore a new activity recognition dataset of activities of daily living (URADL), containing high resolution video sequences of complex activities. I demonstrate the superior performance of my velocity history feature on this dataset, and explore ways in which it can be extended. I investigate the value of a more sophisticated latent velocity model for velocity histories. I explore the addition of contextual semantic information to the model, whether fully automatic or derived from supervision, and provide a sketch for the inclusion of this information in any feature-based generative model for activity recognition or time series data. This approach performs comparably to established methods on the KTH dataset, and significantly outperforms local spatio-temporal features on the challenging new URADL dataset. I further develop another new dataset, URADL2, and explore transferring knowledge between related video activity recognition domains. Using a straightforward feature-expansion transfer learning technique, I show improved performance on one dataset using activity models transferred from the other dataset"--Leaves iv-v.
Book Synopsis Computer Information Systems and Industrial Management by : Khalid Saeed
Download or read book Computer Information Systems and Industrial Management written by Khalid Saeed and published by Springer Nature. This book was released on 2022-07-15 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 21st International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2022, held in Barranquilla, Colombia, in July 2022. The 28 papers presented together with 3 keynotes were carefully reviewed and selected from 68 submissions. The main topics covered by the chapters in this book are biometrics, security systems, multimedia, classification and clustering, and industrial management as well as interesting papers on computer information systems as applied to wireless networks, computer graphics, and intelligent systems.