• DocumentCode
    538818
  • 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
  • Volume
    1
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    420
  • Lastpage
    423
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.210
  • Filename
    5708652
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=538818