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Vision based Object Tracking by Mobile Robot

by P. K. Das, S.c. Mandhata, C. N. Panda, S. N. Patro
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 8
Year of Publication: 2012
Authors: P. K. Das, S.c. Mandhata, C. N. Panda, S. N. Patro
10.5120/6803-9140

P. K. Das, S.c. Mandhata, C. N. Panda, S. N. Patro . Vision based Object Tracking by Mobile Robot. International Journal of Computer Applications. 45, 8 ( May 2012), 40-42. DOI=10.5120/6803-9140

@article{ 10.5120/6803-9140,
author = { P. K. Das, S.c. Mandhata, C. N. Panda, S. N. Patro },
title = { Vision based Object Tracking by Mobile Robot },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 8 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number8/6803-9140/ },
doi = { 10.5120/6803-9140 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:37:06.763887+05:30
%A P. K. Das
%A S.c. Mandhata
%A C. N. Panda
%A S. N. Patro
%T Vision based Object Tracking by Mobile Robot
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 8
%P 40-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Object tracking has become one of the important research areas in robotics. In this paper, we propose a vision based color object tracking by Khepera II mobile robot. The object tracking is realized by color segmentation through image threshold. The wireless camera mounted on the robot will capture the image in front of its viewing range and based on the color property of the target object, the control in tracking is activated automatically by seeking the control align in the direction of the tracked object.

References
  1. Stone, L. D. , Barlow, C. C. and Corwin, T. L. , Bayesian Multiple TargetTracking, Artech House, Boston, Massachusets, 1999.
  2. Warren, R. C. , "A Bayesian Track-before-Detect Algorithm for IR Point Target Detection," in Advances in Soft Computing, Eds. Abraham, A. and Köppen, M. , Pysica-Verlag, Warsaw, 2002
  3. Brown, C. , Durrant-Whyte, H. , Leonard, J. , Rao, B. and Steer,B. ,"Distributed Data Fusion Using Kalman Filtering: A roboticsApplication", in Data Fusion in Robotics and Machine Intelligence, Eds. Abidi, Mongi, A. and Gonzalez, R. C. . Academic Press Inc. , San Diego, 1992.
  4. Sheli Sinha Chaudhuri, Amit Konar : Vision Based Target-Tracking Realized with Mobile Robots using Extended Kalman Filter. In Engineering Letters, 14:1, EL_14_1_27 (Advance online publication: 12 February 2007)
  5. Miyata, J. , Murakami, T. , Ohnishi, K. : An approach to tracking motion of mobile robot for moving object. In: 26th Annual Confjerence of the IEEE Industrial Electronics Society, vol. 4, pp. 2249–2254 (2000)
  6. Balkenius, C. , Kopp, L. : Visual tracking and target selection for mobile robots. In: Proceedings of the First Euromicro Workshop on Advanced Mobile Robot, pp. 166–171 (1996)
  7. Montecillo-Puente, F. J. , Ayala-Ramirez, V. , Perez-Garcia, A. , Sanchez-Yanez, R. E. : Fuzzy color tracking for robotic tasks. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. 2769–2773 (2003
  8. Buluswar, S. , Draper, B. : Color machine vision for autonomous vehicles. Eng. Appl. Artif. Intell. 11, 245–256 (1998)
  9. Lee, Y. B. , You, B. J. , Lee, S. W. : A real time color based object tracking robust to irregular illumination variations. In: Proc. Of IEEE International Conference on Robotics and Automation, pp. 1659–1664 (2001)
  10. Kenefic, R. J. , "Optimum Tracking of a Maneuvering Target in Clutter",in Data Fusion in Robotics and Machine Intelligence, Eds. Abidi,Mongi, A. and Gonzalez, R. C. . Academic Press Inc. , San Diego, pp. 308, Ref. 23, 1992
  11. Kuezewski, R. M. , "Neural Network Approaches to Multi-Target Tracking", in Data Fusion in Robotics and Machine Intelligence, Eds. Abidi, Mongi, A. and Gonzalez, R. C. . Academic Press Inc. , San Diego,pp. 309, Ref. 24, 1992.
  12. Morefield, C. L. , "Application of 0-1 Integer Programming to Multi- Target Tracking Problems", in Data Fusion in Robotics and MachineIntelligence, Eds. Abidi, Mongi, A. and Gonzalez, R. C. . Academic PressInc. , San Diego, pp. 309, Ref. 30, 1992
  13. Mori, S. , Chong, C. , Tse, E. and Wishner, R. , "Tracking and Classifying Multiple Targets Without a Prior Identification", in Data Fusion inRobotics and Machine Intelligence, Eds. Abidi, Mongi, A. andGonzalez, R. C. . Academic Press Inc. , San Diego, pp. 309, Ref. 31, 1992
  14. Shirai, Y. , Odaka, R. and Yamane. T. , "Robust Vision for Vision-based control of Motion", in Robust Visual Tracking by Integrating Various Cues, Eds. Vincez, M. and Hager, G. D. , IEEE Press, Piscataway, N. J. , 2000
  15. Chen, H. C. , Chien, W. J. , Wang, S. J. : Contrast based color segmentation with adaptive thresholds. In: International Conf. on Image Processing vol. 2, pp. II-73–II-76 (2002)
  16. Chao, Y. , Changan, Z. : Obstacle detection using adaptive color segmentation and planar projection stereopsis for mobile robots. In: Proc. Of IEEE International Conf. on Robotics, Intelligent Systems and Signal Processing, pp. 1097–1101 (2003)
  17. Swain, M. , Ballard, D. : Indexing via color histograms. In: Proc. Of the Third International Conf. on Computer Vision, pp. 390–393 (1990)
  18. Wu, Ying, Huang, T. S. : Non-stationary color tracking for vision-based human-computer interaction. IEEE Trans. Neural Netw. 13(4), 948–960 (2002)
  19. Orwell, J. : Remagnino P. , Jones G. A. , Multi-camera colour tracking. In Second IEEE Workshop on Visual Surveillance, pp. 14–21 (1999)Piscataway, NJ (1995)
Index Terms

Computer Science
Information Sciences

Keywords

Image Matching Mobile Robot Object Tracking Khepera Ii Motion Planning

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