Title :
A robust state estimation approach to video tracking
Author :
Al-Takrouri, Saleh ; Savkin, Andrey V.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
In this paper, we propose a general purpose video-based tracking system that is robust to occlusion. The system is tracking moving objects that are represented by connected regions of pixels that are tracked over the video frames. The proposed tracking system design is based on recent ideas and results on robust set-valued state estimation for uncertain control systems.
Keywords :
state estimation; video signal processing; moving objects tracking; robust set-valued state estimation; robust state estimation approach; uncertain control systems; video-based tracking system; Databases; Mathematical model; Robustness; State estimation; Uncertain systems; Uncertainty; Vectors;
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3