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Object Tracking of the Mobile Robot Using the Stereo Camera

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Intelligent Robotics and Applications

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9246))

Abstract

This paper proposes a visual servoing algorism for the object tracking by a mobile robot with the stereo camera. The mobile robot performs an object recognition and object tracking using the SIFT and CAMSHIFT algorism for the visual servoing. The CAMSHIFT algorism has been used to obtain the three-dimensional position and orientation of the mobile robot. With the visual servoing, a stable balance control has been realized by a control system which calculates a desired angle of the center of gravity whose location depends on variations of link rotation angles of the manipulator. To demonstrate the control performance of the visual servoing, real experiments ware performed using the mobile manipulator system developed for this research.

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References

  1. Kim, D.Y., Park, J.W., Lee, C.W.: Object-Tracking System Using Combination of CAMshift and Kalman filter Algorithm. Journal of Korea Multimedia Society 16(5), 619–628 (2013)

    Article  Google Scholar 

  2. Tak, M.H., Cho, Y.J., Joo, Y.H.: Behavior Control for Cooperative Exploration for Swarm Robots. In: Proceedings of KIIS Fall Conference, Korea, vol. 21(2), pp.169−170, December 2011

    Google Scholar 

  3. Kim, S.H.: The robot vision technology trend for the intelligent mobile robot. Journal of Korea Robotics Society 9(1), 26–35 (2012). (in Korean)

    Google Scholar 

  4. Wang, X., Li, X.: Study of movingtarget tracking based on kalman - CAMshift in the video. In: 2010 2nd International Conference Information Science and Engineering (ICISE), pp. 1−4 (2010)

    Google Scholar 

  5. Wang, Y., Lang, H., de Silva, C.W.: A Hybrid Visual Servo Controller for Robust Grasping by Wheeled Mobile Robots. IEEE/ASME Trans. of Mechatronics 15(5), 757–769 (2010)

    Article  Google Scholar 

  6. Low, E.M.P., Manchester, I.R., Savkin, A.V.: A biologically inspired method for vision-based docking of wheeled mobile robots. International Journal of Robotics and Autonomous systems 55(10), 769–784 (2007)

    Article  Google Scholar 

  7. Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60(2), 91–100 (2004)

    Article  Google Scholar 

  8. Lee, D.Y., Seo, B.C., Kim, S.S., Park, S.H.: Verification of Camera-Image-Based Target-Tracking Algorithm for Mobile Surveillance Robot Using Virtual Simulation. The 10th International Trans. Korea. Soc. Mech. Eng. A 36(11), 1463–1471 (2012)

    Article  Google Scholar 

  9. Lippiello, V., Siciliano, B., Vilani, L.: Position Based Visual Servoing in Industrial Multirobot Cells Using a Hybrid Camera Configuration. IEEE Trans. of Robotics 23(1), 73–86 (2007)

    Article  Google Scholar 

  10. Horaud, R., Dornaika, F., Espiau, B.: Visually Guided Object Grasping. IEEE Trans. of Robotics and Automation 14(4), August 1998

    Article  Google Scholar 

  11. Kim, C.O., Choi, S., Cheong, J.N., Yang, G.W., Kim, H.S.: Robust Position Tracking for Position-Based Visual Servoing and Its Application to Dual-Arm Task. Journal of Korea Robotics Society 2(2), 129–136 (2007). (in Korean)

    Google Scholar 

  12. Kim, D.H., Chung, M.J.: A Switched Visual Servoing Technique Robust to Camera Calibration Errors for Reaching the Desired Location Following a Straight Line in 3-D Space. Journal of Korea Robotics Society 1(2), 125–134 (2006). (in Korean)

    Google Scholar 

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Correspondence to Hyun-Uk Ha .

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© 2015 Springer International Publishing Switzerland

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Ha, HU., Yoon, HN., Kim, YK., Lee, DH., Lee, JM. (2015). Object Tracking of the Mobile Robot Using the Stereo Camera. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R. (eds) Intelligent Robotics and Applications. Lecture Notes in Computer Science(), vol 9246. Springer, Cham. https://doi.org/10.1007/978-3-319-22873-0_28

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  • DOI: https://doi.org/10.1007/978-3-319-22873-0_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22872-3

  • Online ISBN: 978-3-319-22873-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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