Title :
Multi-camera tracking mehtod based on particle filtering
Author :
Musa, Zalili Binti ; Watada, Junzo ; Zhang, Huiming
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
Abstract :
A video tracking system raises a wide range of possibilities in today´s society, particularly in security, monitoring, and robotics. The most important research in tracking systems is to discover and develop an available method and algorithm for tracking an object´s motion. The objective of this paper is to propose a new method that combines a prediction method and particle filter to manage problems in a wide area of observation. The comparative study of the method is provided and its capabilities are evaluated.
Keywords :
image motion analysis; particle filtering (numerical methods); video signal processing; multicamera tracking method; particle filtering; prediction method; video tracking system; Biomedical monitoring; ISO standards; Monitoring; Target tracking; human tracking; large area; multi-camera; particle filter; tracking system;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
