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Vision Based People Tracking Using Stereo Camera and Camshift

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Intelligent Robotics and Applications (ICIRA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8102))

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Abstract

In this paper proposes a visual manipulation method that incorporates computation of 3D object position from characteristic disparity of stereo image. First, we proceed to an image revision work using the calibration. To obtain the characteristic disparity, a set of characteristic points, essential to obtain characteristics like center points or corner points are determined from the CAMShift center of left and right images. By iterative computation and tracking in real time, the algorithm is able to robustly provide accurate 3D position of target objects.

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Author information

Authors and Affiliations

  1. Interdisciplinary Program in Robotics, Pusan National University, South Korea

    Kang-Il Park & Chan-Ik Park

Authors
  1. Kang-Il Park
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  2. Chan-Ik Park
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  3. Jangmyung Lee
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Pusan National University, South Korea

    Jangmyung Lee

  2. School of Mechanical Engineering, Pusan National University, Busan, South Korea

    Min Cheol Lee

  3. Intelligent Systems & Biomedical Robotics Group, School of Creative Technologies, University of Portsmouth, PO1 2DJ, England, UK

    Honghai Liu

  4. School of Mechanical Engineering, Biorobotics Laboratory, Korea University of Technology and Education, Gajeon-ri Byeongcheon-myeon 307, 330-708, Cheonan, Korea

    Jee-Hwan Ryu

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© 2013 Springer-Verlag Berlin Heidelberg

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Park, KI., Park, CI., Lee, J. (2013). Vision Based People Tracking Using Stereo Camera and Camshift. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_17

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  • DOI: https://doi.org/10.1007/978-3-642-40852-6_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40851-9

  • Online ISBN: 978-3-642-40852-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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