Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 12)
Article Information:

Visual Multi-Object Tracking in the Presence of Cluttered Scenes

Xu-Sheng Gan and Yi Wang
Corresponding Author:  Yi Wang 

Key words:  Combination method, DSmT, multi-object, PF, , ,
Vol. 6 , (12): 2131-2135
Submitted Accepted Published
December 3, 2012 January 17, 2013 July 30, 2013
Abstract:

The aim of this study was to investigate the visual multi-object tracking in the presence of cluttered scenes. A improved algorithm of fusing multi-source information including location and color evidences were introduced based on Dezert-Smarandache Theory (DSmT) and Particle Filters (PF). Results showed that the conflict strategy and DSmT combination model were available and the proposed approach exhibited a significantly better performance for dealing with high conflict between evidences than a conventional PF. The suggested approach can easily be generalized to deal with larger number of visual multi-object and additional cues in the presence of cluttered scenes.
Abstract PDF HTML
  Cite this Reference:
Xu-Sheng Gan and Yi Wang, 2013. Visual Multi-Object Tracking in the Presence of Cluttered Scenes.  Research Journal of Applied Sciences, Engineering and Technology, 6(12): 2131-2135.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved