Vision Based Human Activity Recognition

Author : Zhongxu Hu,Chen Lv
Publisher : Springer Nature
Page : 130 pages
File Size : 53,6 Mb
Release : 2022-04-22
Category : Computers
ISBN : 9789811922909

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Vision-Based Human Activity Recognition by Zhongxu Hu,Chen Lv Pdf

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 : Yun Fu
Publisher : Springer
Page : 174 pages
File Size : 51,7 Mb
Release : 2015-12-23
Category : Technology & Engineering
ISBN : 9783319270043

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Human Activity Recognition and Prediction by Yun Fu Pdf

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 : Md Atiqur Rahman Ahad,Upal Mahbub,Tauhidur Rahman
Publisher : Springer Nature
Page : 364 pages
File Size : 52,9 Mb
Release : 2021-03-23
Category : Technology & Engineering
ISBN : 9783030685904

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Contactless Human Activity Analysis by Md Atiqur Rahman Ahad,Upal Mahbub,Tauhidur Rahman Pdf

This book is a truly comprehensive, timely, and very much needed treatise on the conceptualization of analysis, and design of contactless & multimodal sensor-based human activities, behavior understanding & intervention. From an interaction design perspective, the book provides views and methods that allow for more safe, trustworthy, efficient, and more natural interaction with technology that will be embedded in our daily living environments. The chapters in this book cover sufficient grounds and depth in related challenges and advances in sensing, signal processing, computer vision, and mathematical modeling. It covers multi-domain applications, including surveillance and elderly care that will be an asset to entry-level and practicing engineers and scientists.(See inside for the reviews from top experts)

Author : Sergey V. Ablameyko,Viktor V. Krasnoproshin,Maryna M. Lukashevich
Publisher : Springer Nature
Page : 320 pages
File Size : 42,8 Mb
Release : 2019-11-22
Category : Computers
ISBN : 9783030354305

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Pattern Recognition and Information Processing by Sergey V. Ablameyko,Viktor V. Krasnoproshin,Maryna M. Lukashevich Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.

Author : Md Atiqur Rahman Ahad,Anindya Das Antar,Masud Ahmed
Publisher : Springer Nature
Page : 214 pages
File Size : 41,5 Mb
Release : 2020-07-30
Category : Computers
ISBN : 9783030513795

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IoT Sensor-Based Activity Recognition by Md Atiqur Rahman Ahad,Anindya Das Antar,Masud Ahmed Pdf

This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.

Author : David Forsyth,Philip Torr,Andrew Zisserman
Publisher : Springer Science & Business Media
Page : 833 pages
File Size : 50,8 Mb
Release : 2008-10-07
Category : Computers
ISBN : 9783540886815

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Computer Vision - ECCV 2008 by David Forsyth,Philip Torr,Andrew Zisserman Pdf

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.

Author : Xiaoli Li,Min Wu,Zhenghua Chen,Le Zhang
Publisher : Springer Nature
Page : 139 pages
File Size : 52,8 Mb
Release : 2021-02-17
Category : Computers
ISBN : 9789811605758

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Deep Learning for Human Activity Recognition by Xiaoli Li,Min Wu,Zhenghua Chen,Le Zhang Pdf

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.

Author : David Forsyth
Publisher : Now Publishers Inc
Page : 188 pages
File Size : 49,9 Mb
Release : 2006
Category : Automatic tracking
ISBN : 9781933019307

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Computational Studies of Human Motion by David Forsyth Pdf

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis reviews methods for kinematic tracking of the human body in video. The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues. The authors identify some puzzling phenomena associated with the choice of human motion representation --- joint angles vs. joint positions. The review concludes with a quick guide to resources and an extensive bibliography of over 400 references. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis is an invaluable reference for those engaged in computational geometry, computer graphics, image processing, imaging in general, and robotic.

Author : Bhattacharya, Srijan
Publisher : IGI Global
Page : 298 pages
File Size : 50,7 Mb
Release : 2020-03-27
Category : Computers
ISBN : 9781799825852

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Advancements in Instrumentation and Control in Applied System Applications by Bhattacharya, Srijan Pdf

As technology continues to advance in today’s global market, practitioners are targeting systems with significant levels of applicability and variance. Instrumentation is a multidisciplinary subject that provides a wide range of usage in several professional fields, specifically engineering. Instrumentation plays a key role in numerous daily processes and has seen substantial advancement in recent years. It is of utmost importance for engineering professionals to understand the modern developments of instruments and how they affect everyday life. Advancements in Instrumentation and Control in Applied System Applications is a collection of innovative research on the methods and implementations of instrumentation in real-world practices including communication, transportation, and biomedical systems. While highlighting topics including smart sensor design, medical image processing, and atrial fibrillation, this book is ideally designed for researchers, software engineers, technologists, developers, scientists, designers, IT professionals, academicians, and post-graduate students seeking current research on recent developments within instrumentation systems and their applicability in daily life.

Author : Santosh Kumar Tripathy
Publisher : Springer Nature
Page : 145 pages
File Size : 54,8 Mb
Release : 2024-06-11
Category : Electronic
ISBN : 9783031516603

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Advances in Human Activity Detection and Recognition (HADR) Systems by Santosh Kumar Tripathy Pdf

Author : Sergio Escalera,Isabelle Guyon,Vassilis Athitsos
Publisher : Springer
Page : 578 pages
File Size : 45,6 Mb
Release : 2017-07-19
Category : Computers
ISBN : 9783319570211

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Gesture Recognition by Sergio Escalera,Isabelle Guyon,Vassilis Athitsos Pdf

This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.

Author : Muhammad Adeel Nisar
Publisher : Logos Verlag Berlin GmbH
Page : 161 pages
File Size : 41,5 Mb
Release : 2023-02-20
Category : Computers
ISBN : 9783832555719

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Sensor-Based Human Activity Recognition for Assistive Health Technologies by Muhammad Adeel Nisar Pdf

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.

Author : Md. Atiqur Rahman Ahad
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 52,9 Mb
Release : 2011-12-02
Category : Computers
ISBN : 9789491216206

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Computer Vision and Action Recognition by Md. Atiqur Rahman Ahad Pdf

Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. The field of action and activity representation and recognition is relatively old, yet not well-understood by the students and research community. Some important but common motion recognition problems are even now unsolved properly by the computer vision community. However, in the last decade, a number of good approaches are proposed and evaluated subsequently by many researchers. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance. This book will cover gap of information and materials on comprehensive outlook – through various strategies from the scratch to the state-of-the-art on computer vision regarding action recognition approaches. This book will target the students and researchers who have knowledge on image processing at a basic level and would like to explore more on this area and do research. The step by step methodologies will encourage one to move forward for a comprehensive knowledge on computer vision for recognizing various human actions.

Author : Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou
Publisher : Morgan & Claypool Publishers
Page : 179 pages
File Size : 51,5 Mb
Release : 2006-01-01
Category : Technology & Engineering
ISBN : 9781598290073

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Recognition of Humans and Their Activities Using Video by Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou Pdf

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 : Jorge Luis Reyes Ortiz
Publisher : Springer
Page : 133 pages
File Size : 54,8 Mb
Release : 2015-01-14
Category : Technology & Engineering
ISBN : 9783319142746

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Smartphone-Based Human Activity Recognition by Jorge Luis Reyes Ortiz Pdf

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.