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[null,"1.","Record Nr.",null,"UNINA9910136226703321"]
[null,null,"Autore",null,"Betke Margrit"]
[null,null,"Titolo",null,"Data association for multi-object visual tracking / / Margrit Betke, Zheng Wu"]
[null,null,"Pubbl/distr/stampa",null,"[San Rafael, California] : , : Morgan & Claypool Publishers, , 2017"]
[{"$nulls":4},"©2017"]
[null,null,"ISBN",null,"1-62705-943-1"]
[null,null,"Descrizione fisica",null,"1 online resource (122 pages)"]
[null,null,"Collana",null,"Synthesis Lectures on Computer Vision, , 2153-1056 ; ; Lecture Number 9"]
[null,null,"Disciplina",null,"006.37"]
[null,null,"Soggetti",null,"Computer vision"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Part of: Synthesis digital library of engineering and computer science."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Preface -- 1. An introduction to data association in computer vision: 1.1. Challenges; 1.2. Related topics beyond the scope of this book; 1.3. Application domains; 1.4. Simulation testbeds; 1.5. Experimental benchmarks; 1.6. Organization of the book -- 2. Classic sequential data association approaches: 2.1. Advantages of Kalman filters for use in multi-object tracking; 2.2. Gating; 2.3. Global nearest neighbor standard filter (GNNSF); 2.4. Joint probabilistic data association (JPDA); 2.5. Multiple hypotheses tracking (MHT); 2.6. Discussion -- 3. Classic batch data association approaches: 3.1. Markov chain Monte Carlo data association (MCMCDA); 3.2. Network flow data association (NFDA); 3.3. Probabilistic multiple hypothesis tracking (PMHT); 3.4. Discussion -- 4. Evaluation criteria: 4.1. Definitions; 4.2. Discussion -- 5. Tracking with multiple cameras: 5.1. The reconstruction-tracking approach; 5.2. The tracking-reconstruction approach; 5.3. An example of spatial data association; 5.4. Discussion -- 6. The tracklet linking approach: 6.1. Review of existing work; 6.2. An example of tracklet linking using a track graph -- 7. Advanced techniques for data association: 7.1. Data association for merged or split measurements; 7.2. Learning-based data association; 7.3. Coupling data association --"]
[{"$nulls":4},"8. Application to animal group tracking in 3D: 8.1. Two sample systems for analyzing bat and bird flight; 8.2. Impact of multi-animal tracking systems -- 9. Benchmarks for human tracking: 9.1. PETS-2009; 9.2. Beyond PETS-2009: the MOT-challenge benchmark -- 10. Concluding remarks -- Bibliography -- Authors' biographies."]
[null,null,null,"Sommario/riassunto","This book serves as a tutorial on data association methods, intended "]
[{"$nulls":4},"for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research."]
[null,"2.","Record Nr.",null,"UNINA9910794502103321"]
[null,null,"Autore",null,"Musiowsky-Borneman Tamera"]
[null,null,"Titolo",null,"The minimalist teacher / / Tamera Musiowsky-Borneman, C. Y. Arnold"]
[null,null,"Pubbl/distr/stampa",null,"Alexandria, Virginia, USA : , : ASCD, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"1-4166-3012-0"]
[{"$nulls":4},"1-4166-3013-9"]
[null,null,"Descrizione fisica",null,"1 online resource (142 pages) : illustrations"]
[null,null,"Collana",null,"Gale eBooks"]
[null,null,"Disciplina",null,"371.102/4"]
[null,null,"Soggetti",null,"Classroom management"]
[{"$nulls":4},"Orderliness"]
[{"$nulls":4},"Classroom environment"]
[{"$nulls":4},"Teaching"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover Page -- Title Page -- Copyright -- Table of Contents -- Introduction -- Chapter 1. Creating a Culture  of Minimalism in  Your Classroom -- Chapter 2. Decluttering the  Physical Environment -- Chapter 3. Decluttering Initiatives -- Chapter 4. Decluttering the  Curriculum -- Chapter 5. Decluttering  Instructional and  Assessment Strategies -- Chapter 6. Advocating for  Minimalism in Your Teaching Environment -- Concluding Thoughts -- Appendix A.  The Triple P Cycle -- Appendix B.  Initiatives, Purposes, and Priorities -- Appendix C.  The Minimalist Teacher Book Study Guide -- References -- Index -- About the Authors -- Related ASCD Resources -- Back Cover."]
[null,null,null,"Sommario/riassunto","Bring a minimalist mindset to your classroom using a three-step decision-making process that can help you reduce stress and build a better learning environment."]