DocumentCode
2762102
Title
Monte Carlo Multi-object Tracking in Wireless Sensor Networks
Author
Liyan, Chen
Author_Institution
Sch. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
Volume
2
fYear
2010
fDate
6-7 March 2010
Firstpage
162
Lastpage
165
Abstract
In recent years, the techniques of target tracking in wireless sensor networks earn more and more concerns from researchers around the world. Real time, tracking accuracy and energy costing are the vital problems. In this paper, a Monte Carlo based multi-targets tracking method was proposed to meet tracking accuracy in tracking system(MCMT, Monte Carlo Multi-object Tracking). Traditional Monte Carlo tracking method is improved. This method forecasts velocity of object to establish sample model and shrinks sample area. The problem of tracking error because of the uncertainty of target’s velocity is solved with this method as well, which has higher tracking accuracy.
Keywords
Computer networks; Computer science; Electronic mail; Monte Carlo methods; Power engineering and energy; Sampling methods; Sensor systems; Target tracking; Uncertainty; Wireless sensor networks; Monte Carlo method; multi-object tracking; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-0-7695-3972-0
Electronic_ISBN
978-1-4244-5924-7
Type
conf
DOI
10.1109/CESCE.2010.264
Filename
5493251
Link To Document