Author: E.K. HenkemansPublisher:
ISBN:
Category :
Languages : en
Pages : 88
Book Description
Manoeuvre Detection and Correction Using Neural Networks in Target Tracking Applications
Author: E.K. HenkemansObject Tracking Technology
Author: Ashish KumarPublisher: 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.ยท 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.
Adaptive Approaches to Manoeuvering Target Tracking
Author: Murat EfeGroup-target Tracking
Author: Wen-dong GengPublisher: Springer
ISBN: 981101888X
Category : Technology & Engineering
Languages : en
Pages : 175
Book Description
This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target. It specifies the tracking of the target in different quantities and densities. At the same time, it integrates cognition into the application. Group-target Tracking is designed as a book for advanced-level students and researchers in the area of radar systems, information fusion of multi-sensors and electronic countermeasures. It is also a valuable reference resource for professionals working in this field.
NDT Data Fusion
Author: Xavier GrosPublisher: Elsevier
ISBN: 0080524044
Category : Technology & Engineering
Languages : en
Pages : 233
Book Description
Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive Testing) sensors to provide a more complete and understandable picture of structural integrity. This text is the first to be devoted exclusively to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the author presents an excellent introduction to data fusion processes. Problems are approached progressively through detailed case studies, offering practical guidance for those wishing to develop and explore NDT data fusion further. This book will prove invaluable to inspectors, students and researchers concerned with NDT signal processing measurements and testing. It shows the great value and major benefits which can be achieved by implementing multisensor data fusion, not only in NDT but also in any discipline where measurements and testing are key activities.
Multiple Target Tracking Using Neural Networks and Set Estimation
Author: Gilles Patrick MauroyPublisher:
ISBN:
Category : Tracking radar
Languages : en
Pages : 182
Book Description
Single and multiple target tracking
Author: Mohamed El-GhoboushiPublisher: GRIN Verlag
ISBN: 3668105871
Category : Computers
Languages : en
Pages : 43
Book Description
Abstract from the year 2015 in the subject Computer Science - Applied, grade: excellent, Suez Canal University (Faculty of engineering), course: Manoeuvering Target tracking, language: English, abstract: A comprehensive review of the literature on manoeuvring target tracking for both uncluttered and cluttered measurements is presented. Various discrete-time dynamical models including nonrandom input, random-input and switching or hybrid system manoeuvre models are presented. The problem of manoeuvre detection is covered.We are going to discuss single target tracking using single model and multiple models. Further more we are going to describe multiple target tracking using multiple models.
Target Tracking and Identification Using Neural Networks and Associative Memories
Author: Dan S. ChengThe 1994 IEEE International Conference on Neural Networks
Author: Target Tracking with Random Finite Sets
Author: Weihua WuPublisher: Springer Nature
ISBN: 9811998159
Category : Technology & Engineering
Languages : en
Pages : 449
Book Description
This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.