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Multi Scale Particle Filtering For Multiple Object Tracking In Video Sequences


Multi Scale Particle Filtering For Multiple Object Tracking In Video Sequences
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Multi Scale Particle Filtering For Multiple Object Tracking In Video Sequences


Multi Scale Particle Filtering For Multiple Object Tracking In Video Sequences
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Author : Ahmed Mahmoud
language : en
Publisher:
Release Date : 2018

Multi Scale Particle Filtering For Multiple Object Tracking In Video Sequences written by Ahmed Mahmoud and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.


The tracking of moving objects in video sequences, also known as visual tracking, involves the estimation of positions, and possibly velocities, of these objects. Visual tracking is an important research problem because of its many industrial, biomedical, and security applications. Significant progress has been made on this topic over the last few decades. However, the ability to track objects accurately in video sequences having challenging conditions and unexpected events, e.g., background motion, object shadow, objects with different sizes and contrasts, a sudden change in illumination, partial object camouflage, and low signal-to-noise ratio, remains an important research problem. To address such difficulties, we adopted a multi-scale Bayesian approach to develop robust multiple object trackers. We introduce a novel concept in the field of visual tracking by adaptively fusing tracking results obtained from a fixed or variable number of wavelet subbands, corresponding to different scene directions and object scales, of a given video frame. Previous approaches to visual tracking were based on using the full- resolution video frame or a smoothed version of it. These approaches have limitations that were overcome by our multi-scale approach that is described in detail in this thesis. This thesis describes the design and implementation of four novel multi-scale visual trackers that are based on particle filtering and the adaptive fusion of subband frames generated using wavelets. We evaluated the performance of our novel trackers using different video sequences from the CAVIAR and VISOR databases. Compared to a standard full-resolution particle filter-based tracker, and a single wavelet subband (LL)2 based tracker, our multi-scale trackers demonstrate significantly more accurate tracking performance, in addition to a reduction in average frame processing time.



Tracking With Particle Filter For High Dimensional Observation And State Spaces


Tracking With Particle Filter For High Dimensional Observation And State Spaces
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Author : Séverine Dubuisson
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-05

Tracking With Particle Filter For High Dimensional Observation And State Spaces written by Séverine Dubuisson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-05 with Technology & Engineering categories.


This title concerns the use of a particle filter framework to track objects defined in high-dimensional state-spaces using high-dimensional observation spaces. Current tracking applications require us to consider complex models for objects (articulated objects, multiple objects, multiple fragments, etc.) as well as multiple kinds of information (multiple cameras, multiple modalities, etc.). This book presents some recent research that considers the main bottleneck of particle filtering frameworks (high dimensional state spaces) for tracking in such difficult conditions.



Computer Vision Eccv 2004


Computer Vision Eccv 2004
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Author : Tomas Pajdla
language : en
Publisher: Springer
Release Date : 2004-05-10

Computer Vision Eccv 2004 written by Tomas Pajdla and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-10 with Computers categories.


Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.



Advances In Computer Vision


Advances In Computer Vision
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Author : Kohei Arai
language : en
Publisher: Springer
Release Date : 2019-04-23

Advances In Computer Vision written by Kohei Arai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-23 with Technology & Engineering categories.


This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.



Computer Vision Eccv 2008


Computer Vision Eccv 2008
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Author : David Forsyth
language : en
Publisher: Springer
Release Date : 2008-10-14

Computer Vision Eccv 2008 written by David Forsyth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-14 with Computers categories.


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.



Partitioned Particle Filtering For Target Tracking In Video Sequences


Partitioned Particle Filtering For Target Tracking In Video Sequences
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Author : Markus Smuts Louw
language : en
Publisher:
Release Date : 2004

Partitioned Particle Filtering For Target Tracking In Video Sequences written by Markus Smuts Louw and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.




Intelligent Information And Database Systems


Intelligent Information And Database Systems
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Author : Ngoc-Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2014-02-28

Intelligent Information And Database Systems written by Ngoc-Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Computers categories.


The two-volume set LNAI 8397 and LNAI 8398 constitutes the refereed proceedings of the 6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014, held in Bangkok, Thailand, in April 2014. The 125 revised papers presented were carefully reviewed and selected from 300 submissions. The papers address the following topics: natural language and text processing, intelligent information retrieval, semantic Web, social networks and recommendation systems, intelligent database systems, decision support systems, computer vision techniques, and machine learning and data mining. The papers are organized in topical sections on multiple model approach to machine learning, MMAML 2014, computational intelligence, CI 2014, engineering knowledge and semantic systems, IWEKSS 2014, innovations in intelligent computation and applications, IICA 2014, modeling and optimization techniques in information systems, database systems and industrial systems, MOT 2014, innovation via collective intelligences and globalization in business management, ICIGBM 2014, intelligent supply chains, ISC 2014, and human motion: acquisition, processing, analysis, synthesis and visualization for massive datasets, HMMD 2014.



Advances In Multimedia Information Processing Pcm 2007


Advances In Multimedia Information Processing Pcm 2007
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Author : Horace H. S. Ip
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-29

Advances In Multimedia Information Processing Pcm 2007 written by Horace H. S. Ip and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-29 with Computers categories.


This book constitutes the refereed proceedings of the 8th Pacific Rim Conference on Multimedia, PCM 2007, held in Hong Kong, China, in December 2007. The 73 revised full papers and 21 revised posters presented were carefully reviewed and selected from 247 submissions. The papers are organized in topical sections on image classification and retrieval, the AVS china national standard - technology, applications and products, human face and action recognition, and many more topics.



Tracking Multiple Objects Using A Colour Based Particle Filter


Tracking Multiple Objects Using A Colour Based Particle Filter
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Author : Rahul Deshpande
language : en
Publisher:
Release Date : 2009

Tracking Multiple Objects Using A Colour Based Particle Filter written by Rahul Deshpande and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.




Emerging Technologies In Intelligent Applications For Image And Video Processing


Emerging Technologies In Intelligent Applications For Image And Video Processing
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Author : Santhi, V.
language : en
Publisher: IGI Global
Release Date : 2016-01-07

Emerging Technologies In Intelligent Applications For Image And Video Processing written by Santhi, V. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-07 with Computers categories.


Image and Video Processing is an active area of research due to its potential applications for solving real-world problems. Integrating computational intelligence to analyze and interpret information from image and video technologies is an essential step to processing and applying multimedia data. Emerging Technologies in Intelligent Applications for Image and Video Processing presents the most current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. Featuring insight from researchers from around the world, this publication is designed for use by engineers, IT specialists, researchers, and graduate level students.