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Number 9

Tracking of Person using Monocular Vision by Autonomous Navigation Test bed (ANT)

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  • Sachin Kansal and Neha Garg and Pavan Chakraborty 2012. Tracking of Person using Monocular Vision by Autonomous Navigation Test bed (ANT). International Journal of Applied Information Systems. 3, 9 (August 2012), 19-24. DOI=http://dx.doi.org/10.5120/ijais450587
  • @article{10.5120/ijais2017451568,
    author = {Sachin Kansal and Neha Garg and Pavan Chakraborty},
    title = {Tracking of Person using Monocular Vision by Autonomous Navigation Test bed (ANT)},
    journal = {International Journal of Applied Information Systems},
    issue_date = {August 2012},
    volume = {3},
    number = {},
    month = {August},
    year = {2012},
    issn = {},
    pages = {19-24},
    numpages = {},
    url = {/archives/volume3/number9/259-0587},
    doi = { 10.5120/ijais12-450587},
    publisher = { xA9 2010 by IJAIS Journal},
    address = {}
    }
    
  • %1 450587
    %A Sachin Kansal
    %A Neha Garg
    %A Pavan Chakraborty
    %T Tracking of Person using Monocular Vision by Autonomous Navigation Test bed (ANT)
    %J International Journal of Applied Information Systems
    %@ 
    %V 3
    %N 
    %P 19-24
    %D 2012
    %I  xA9 2010 by IJAIS Journal
    

Abstract

This paper has the capability to detect the person and follow that person by the surveillance mobile robot (ANT) in outdoor and indoor environment. Monocular based vision tracking technique used in the paper and following method used for surveillance robot is proposed, as it combines face detection, person's upper body features extraction and Moment calculation modules proposed in this paper. We are extracting torso based color as a key feature after face detection; it gives the features as input to the module named moment calculation which is used to track the target person by calculating the motion parameters. We introduce speech generation module in order to develop interaction between the person and surveillance robot. We also introduce wireless communication in order to send the signal from base station to the remote location to know where ANT is located. Experiment results validate the robust performance of the proposed approach.

References

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  7. M. Scheutz, J. McRaven, and G. Cserey,"fast, reliable, adaptive, bimodal people tracking for indoor environments," in Proc. of the 2004 IEEE/RSJ Int. Conf. On Intelligent Robots and Systems (IROS'04). Sendai, Japan, vol. 2, pp. 1347-1352, 2004.

Keywords

Face Detection, Mobile robot, Tracking and following, Color features, Moment Calculation, Speech Generation, Wireless Communication

Index Terms

Computer Science
Information Sciences