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 :
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