Vision Based Online Human Tracking Using Dynamic Object Model

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Vision Based Online Human Tracking Using Dynamic Object Model

Author : Anshul Pareek
Publisher : Mohammed Abdul Sattar
Page : 0 pages
File Size : 53,8 Mb
Release : 2023-09-25
Category : Electronic
ISBN : 9798223099277

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Vision Based Online Human Tracking Using Dynamic Object Model by Anshul Pareek Pdf

There are countless objects present in our surrounding environment with their impressions. Vision can be better explained as a way to understand the environment that surrounds us. Even after decades, the exact working of the visual system is a mystery for the scientist involved in its investigation. When eye based vision in living creatures is replaced by computational instruments it is defined as computer vision. In other words, computer vision is artificial mimicry of vision in living creatures, where digital images and videos which are captured by cameras are further analyzed by computers obtaining an optimum level of understanding from it. Human/object tracking when done on an array of frames is an operation of tracking any mobile target object over a span of time with the help of any mobile or immobile camera. It has been a critical issue in the arena of computer vision as it is used in a number of application fields like security, surveillance, human-computer interaction, augmented reality, video communication, and compression, medical imaging, traffic control, video editing, and assistive robotics . This is a highly studied problem and remains to be a complex problem to solve. In object tracking in any given video, the major task is to trace the target object in upcoming video frames. Object tracking is a principal segment of human-computer interaction in a real-time environment, where the computer obtains a finer model of a real-time world. For example, when autonomous vehicles are talked about, a human being cannot transmit the exact state of surroundings precisely and speedily enough. The wide-ranging scope of the application review the significance of dependable, exact, and efficacious object tracking. To obtain an effective tracking the two most important parameters to be included are first, selection of the model and secondly, the tracking method worthy for the task. The fundamental necessities of any tracking structure are first, a robust system, secondly, an adaptive system, and lastly, real-time processing requirement . The famous state-of-art tracking strategies are Interest point-based tracking, multiple hypothesis tracking, kernel-based tracking, and optical flow-based tracking . This area has observed a remarkable elevation due to available low cost, advanced technology cameras, and low computing complexity, corresponding to the inclination of ingenious approaches for image and video processing. Excellent reviews on the state-of- art techniques in this area have been provided in

Artificial Intelligence for Smart Healthcare

Author : Parul Agarwal,Kavita Khanna,Ahmed A Elngar,Ahmed J. Obaid,Zdzislaw Polkowski
Publisher : Springer Nature
Page : 527 pages
File Size : 42,6 Mb
Release : 2023-06-09
Category : Technology & Engineering
ISBN : 9783031236020

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Artificial Intelligence for Smart Healthcare by Parul Agarwal,Kavita Khanna,Ahmed A Elngar,Ahmed J. Obaid,Zdzislaw Polkowski Pdf

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.

Intelligent Control of Robotic Systems

Author : Laxmidhar Behera,Swagat Kumar,Prem Kumar Patchaikani,Ranjith Ravindranathan Nair,Samrat Dutta
Publisher : CRC Press
Page : 499 pages
File Size : 45,6 Mb
Release : 2020-04-07
Category : Technology & Engineering
ISBN : 9780429944000

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Intelligent Control of Robotic Systems by Laxmidhar Behera,Swagat Kumar,Prem Kumar Patchaikani,Ranjith Ravindranathan Nair,Samrat Dutta Pdf

This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.

Machine Learning for Vision-Based Motion Analysis

Author : Liang Wang,Guoying Zhao,Li Cheng,Matti Pietikäinen
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 51,9 Mb
Release : 2010-11-18
Category : Computers
ISBN : 9780857290571

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Machine Learning for Vision-Based Motion Analysis by Liang Wang,Guoying Zhao,Li Cheng,Matti Pietikäinen Pdf

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.

Real-Time Vision for Human-Computer Interaction

Author : Branislav Kisacanin,Vladimir Pavlovic,Thomas S. Huang
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 53,6 Mb
Release : 2005-08-23
Category : Computers
ISBN : 0387276971

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Real-Time Vision for Human-Computer Interaction by Branislav Kisacanin,Vladimir Pavlovic,Thomas S. Huang Pdf

The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.

Information Extraction and Object Tracking in Digital Video

Author : Anonim
Publisher : BoD – Books on Demand
Page : 212 pages
File Size : 47,9 Mb
Release : 2022-08-17
Category : Computers
ISBN : 9781839694608

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Information Extraction and Object Tracking in Digital Video by Anonim Pdf

The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.

Proceedings of International Conference on Artificial Intelligence and Applications

Author : Poonam Bansal,Meena Tushir,Valentina Emilia Balas,Rajeev Srivastava
Publisher : Springer Nature
Page : 604 pages
File Size : 49,5 Mb
Release : 2020-07-01
Category : Technology & Engineering
ISBN : 9789811549922

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Proceedings of International Conference on Artificial Intelligence and Applications by Poonam Bansal,Meena Tushir,Valentina Emilia Balas,Rajeev Srivastava Pdf

This book gathers high-quality papers presented at the International Conference on Artificial Intelligence and Applications (ICAIA 2020), held at Maharaja Surajmal Institute of Technology, New Delhi, India, on 6–7 February 2020. The book covers areas such as artificial neural networks, fuzzy systems, computational optimization technologies and machine learning.

Vision, Modeling, and Visualization 2002

Author : Günther Greiner
Publisher : IOS Press
Page : 548 pages
File Size : 45,8 Mb
Release : 2002
Category : Diagnostic imaging
ISBN : 3898380343

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Vision, Modeling, and Visualization 2002 by Günther Greiner Pdf

Ambient Assisted Living and Enhanced Living Environments

Author : Ciprian Dobre,Constandinos x Mavromoustakis,Nuno Garcia,Rossitza Ivanova Goleva,George Mastorakis
Publisher : Butterworth-Heinemann
Page : 554 pages
File Size : 40,8 Mb
Release : 2016-11-02
Category : Medical
ISBN : 9780128052822

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Ambient Assisted Living and Enhanced Living Environments by Ciprian Dobre,Constandinos x Mavromoustakis,Nuno Garcia,Rossitza Ivanova Goleva,George Mastorakis Pdf

Ambient Assisted Living and Enhanced Living Environments: Principles, Technologies and Control separates the theoretical concepts concerning the design of such systems from their real-world implementations. For each important topic, the book bridges theory and practice, introducing the instruments needed by professionals in their activities. To this aim, topics are presented in a logical sequence, with the introduction of each topic motivated by the need to respond to claims and requirements from a wide range of AAL/ELE applications. The advantages and limitations of each model or technology are presented through concrete case studies for AAL/ELE systems. The book also presents up-to-date technological solutions to the main aspects regarding AAL/ELE systems and applications, a highly dynamic scientific domain that has gained much interest in the world of IT in the last decade. In addition, readers will find discussions on recent AAL/ELE technologies that were designed to solve some of the thorniest business problems that affect applications in areas such as health and medical supply, smart city and smart housing, Big Data and Internet of Things, and many more. Introduces readers to technologies supporting the development of Ambient Assisted Living applications Explains state-of-the-art technological solutions for the main issues regarding AAL and Enhanced Living Environments Reports the development process of scientific and commercial applications and platforms that support AAL and ELE Identifies the advanced solutions in the context of Enhanced Living Environments

Computer Vision

Author : Jinfeng Yang,Qinghua Hu,Ming-Ming Cheng,Liang Wang,Qingshan Liu,Xiang Bai,Deyu Meng
Publisher : Springer
Page : 787 pages
File Size : 43,7 Mb
Release : 2017-11-29
Category : Computers
ISBN : 9789811072994

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Computer Vision by Jinfeng Yang,Qinghua Hu,Ming-Ming Cheng,Liang Wang,Qingshan Liu,Xiang Bai,Deyu Meng Pdf

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

Computer Vision - ACCV 2006

Author : P. J. Narayanan
Publisher : Springer Science & Business Media
Page : 1005 pages
File Size : 50,6 Mb
Release : 2006
Category : Artificial intelligence
ISBN : 9783540312444

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Computer Vision - ACCV 2006 by P. J. Narayanan Pdf

From Visual Surveillance to Internet of Things

Author : Lavanya Sharma,Pradeep K. Garg
Publisher : CRC Press
Page : 277 pages
File Size : 50,7 Mb
Release : 2019-10-16
Category : Computers
ISBN : 9781000708103

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From Visual Surveillance to Internet of Things by Lavanya Sharma,Pradeep K. Garg Pdf

From Visual Surveillance to Internet of Things: Technology and Applications is an invaluable resource for students, academicians and researchers to explore the utilization of Internet of Things with visual surveillance and its underlying technologies in different application areas. Using a series of present and future applications – business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health department and many more – this book will support readers to obtain a deeper knowledge in implementing IoT with visual surveillance. The book offers comprehensive coverage of the most essential topics, including: The rise of machines and communications to IoT (3G, 5G) Tools and technologies of IoT with visual surveillance IoT with visual surveillance for real-time applications IoT architectures Challenging issues and novel solutions for realistic applications Mining and tracking of motion-based object data Image processing and analysis into the unified framework to understand both IOT and computer vision applications This book will be an ideal resource for IT professionals, researchers, under- or post-graduate students, practitioners, and technology developers who are interested in gaining a deeper knowledge in implementing IoT with visual surveillance, critical applications domains, technologies, and solutions to handle relevant challenges. Dr. Lavanya Sharma is an Assistant Professor in the Amity Institute of Information Technology at Amity University UP, Noida, India. She is a recipient of several prestigious awards during her academic career. She is an active nationally-recognized researcher who has published numerous papers in her field. She has contributed as an Organizing Committee member and session chair at Springer and IEEE conferences. Prof. Pradeep K. Garg worked as a Vice Chancellor, Uttarakhand Technical University, Dehradun. Presently he is working in the department of Civil Engineering, IIT Roorkee as a professor. Prof. Garg has published more than 300 technical papers in national and international conferences and journals. He has completed 26 research projects funded by various government agencies, guided 27 PhD candidates, and provided technical services to 84 consultancy projects on various aspects of Civil Engineering.

Interactive Collaborative Information Systems

Author : Robert Babuška,Frans C.A. Groen
Publisher : Springer Science & Business Media
Page : 598 pages
File Size : 55,6 Mb
Release : 2010-04-21
Category : Computers
ISBN : 9783642116872

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Interactive Collaborative Information Systems by Robert Babuška,Frans C.A. Groen Pdf

The increasing complexity of our world demands new perspectives on the role of technology in human decision making. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and traffic management, where humans need to engage in close collaborations with artificial systems to observe and understand the situation and respond in a sensible way. The book Interactive Collaborative Information Systems addresses techniques that support humans in situations in which complex information handling is required and that facilitate distributed decision-making. The theme integrates research from information technology, artificial intelligence and human sciences to obtain a multidisciplinary foundation from which innovative actor-agent systems for critical environments can emerge. It emphasizes the importance of building actor-agent communities: close collaborations between human and artificial actors that highlight their complementary capabilities in situations where task distribution is flexible and adaptive. This book focuses on the employment of innovative agent technology, advanced machine learning techniques, and cognition-based interface technology for the use in collaborative decision support systems.

Advances in Multimedia Information Processing - PCM 2016

Author : Enqing Chen,Yihong Gong,Yun Tie
Publisher : Springer
Page : 581 pages
File Size : 54,6 Mb
Release : 2016-11-25
Category : Computers
ISBN : 9783319488905

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Advances in Multimedia Information Processing - PCM 2016 by Enqing Chen,Yihong Gong,Yun Tie Pdf

The two-volume proceedings LNCS 9916 and 9917, constitute the proceedings of the 17th Pacific-Rim Conference on Multimedia, PCM 2016, held in Xi`an, China, in September 2016. The total of 128 papers presented in these proceedings was carefully reviewed and selected from 202 submissions. The focus of the conference was as follows in multimedia content analysis, multimedia signal processing and communications, and multimedia applications and services.

Experimental Robotics

Author : Oussama Khatib,Vijay Kumar,Gaurav Sukhatme
Publisher : Springer
Page : 937 pages
File Size : 55,7 Mb
Release : 2013-08-20
Category : Technology & Engineering
ISBN : 9783642285721

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Experimental Robotics by Oussama Khatib,Vijay Kumar,Gaurav Sukhatme Pdf

Incorporating papers from the 12th International Symposium on Experimental Robotics (ISER), December 2010, this book examines the latest advances across the various fields of robotics. Offers insights on both theoretical concepts and experimental results.