Author: Kolektif
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 231
Book Description
Nesne Psikoloji Dergisi 19
Nesne 19
Author: Kolektif
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 231
Book Description
Nesne Psikoloji Dergisi 19
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 231
Book Description
Nesne Psikoloji Dergisi 19
Nesne 18
Author: Kolektif
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 271
Book Description
Nesne Psikoloji Dergisi Sayı 18
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 271
Book Description
Nesne Psikoloji Dergisi Sayı 18
Nesne 16
Author: Kolektif
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 182
Book Description
Nesne Psikoloji Dergisi 16
Publisher: Artsürem
ISBN:
Category : Psychology
Languages : en
Pages : 182
Book Description
Nesne Psikoloji Dergisi 16
The Monthly Army List
Author: Great Britain. Army
Publisher:
ISBN:
Category : Retired military personnel
Languages : en
Pages : 3424
Book Description
Publisher:
ISBN:
Category : Retired military personnel
Languages : en
Pages : 3424
Book Description
Object Tracking Technology
Author: Ashish Kumar
Publisher: Springer Nature
ISBN: 9819932882
Category : Computers
Languages : en
Pages : 280
Book Description
With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.
Publisher: Springer Nature
ISBN: 9819932882
Category : Computers
Languages : en
Pages : 280
Book Description
With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.
Hydrometeorological Log of the Central Sierra Snow Laboratory
Sessional Papers of the Parliament of the Dominion of Canada
Author: Canada. Parliament
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 624
Book Description
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 624
Book Description
GeNeDis 2022
Author: Panagiotis Vlamos
Publisher: Springer Nature
ISBN: 3031319869
Category : Medical
Languages : en
Pages : 665
Book Description
The 5th World Congress on Genetics, Geriatrics, and Neurodegenerative Diseases Research (GeNeDis 2022) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. This volume focuses on the sessions from the conference on Neuroscientific Advances.
Publisher: Springer Nature
ISBN: 3031319869
Category : Medical
Languages : en
Pages : 665
Book Description
The 5th World Congress on Genetics, Geriatrics, and Neurodegenerative Diseases Research (GeNeDis 2022) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. This volume focuses on the sessions from the conference on Neuroscientific Advances.
Negro Digest
Logarithmic Tables of Numbers and Trigonometrical Functions
Author: Georg Freiherr von Vega
Publisher:
ISBN:
Category : Logarithms
Languages : en
Pages : 628
Book Description
Publisher:
ISBN:
Category : Logarithms
Languages : en
Pages : 628
Book Description