Title :
Multi-targets Tracking Algorithm Based on Weighted Centroid
Author :
Liu, Dan ; Wang, Nihong ; An, Yi
Author_Institution :
Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
Abstract :
In sensor networks, multi-targeting technology is the basis for tracking system, this paper presents an improved tracking algorithm of weighted centroid location which using target may appear in the perceived probability of the region to give different weights to the node, and give a kind of multi-objective classification of thinking, using partition probability function to select the most consistent trajectory of the partition.
Keywords :
probability; target tracking; wireless sensor networks; multiobjective classification; multitargets tracking algorithm; partition probability function; weighted centroid location; wireless sensor networks; Accuracy; Classification algorithms; Markov processes; Prediction algorithms; Sensors; Target tracking; Trajectory; Wireless Sensor Networks; multi-target tracking; weighted centroid;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.210
