Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms: An indepth discussion on computer vision object tracking algorithms - Couverture souple

Naeem, Asad; Pridmore, Tony

 
9783659256479: Object Tracking Using Hybrid Mean Shift & Particle Filter Algorithms: An indepth discussion on computer vision object tracking algorithms
Couverture souple
ISBN 10 : 3659256471 ISBN 13 : 9783659256479
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Object tracking is an ongoing research area in computer vision. Applications of visual tracking algorithms are countless and growing. Object tracking is required and has been attempted in many domains, including surveillance, sports analysis, gesture recognition, medical applications such as microscopic sample analysis, to study traffic and pedestrian flow dynamics for efficient designs of roads and pathways, growth patterns in plants and animal cells, tracking and targeting applications and studying group behaviour in moving animals and humans This book discusses visual tracking algorithms and their application in the real world. One of the main challenges of tracking using particle filter-based algorithms is to manage the particle spread. Too wide a spread leads to dispersal of particles onto clutter, but limited spread may lead to difficulty when fast-moving objects and/or high-speed camera motion throw trackers away from their target(s). This book addresses the particle spread management problem. Extensive literature review along with three novel hybrid tracking algorithms are presented.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659256471
ISBN 13 
9783659256479
Reliure
Broché
Nombre de pages
192
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne