TY  - CHAP
AU  - Lizuo Jin
AU  - Zhiguo Bian
AU  - Qinhan Xu
AU  - Zhengang Chen
ED  - Hanna Goszczynska
Y1  - 2011-02-28
PY  - 2011
T1  - Bayesian Tracking by Online Co-Training and Sequential Evolutionary Importance Resampling
N2  - Object tracking consists in estimation of trajectory of moving objects in the sequence of images. Automation of the computer object tracking is a difficult task. Dynamics of multiple parameters changes representing features and motion of the objects, and temporary partial or full occlusion of the tracked objects have to be considered. This monograph presents the development of object tracking algorithms, methods and systems. Both, state of the art of object tracking methods and also the new trends in research are described in this book. Fourteen chapters are split into two sections. Section 1 presents new theoretical ideas whereas Section 2 presents real-life applications. Despite the variety of topics contained in this monograph it constitutes a consisted knowledge in the field of computer object tracking. The intention of editor was to follow up the very quick progress in the developing of methods as well as extension of the application.
BT  - Object Tracking
SP  - Ch. 3
UR  - https://doi.org/10.5772/14418
DO  - 10.5772/14418
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-11
ER  -