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Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles

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Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 415))

Abstract

The objective of this paper is to estimate the Ground Moving Target position and track the Ground Moving Target continuously using Extended Kalman Filter estimator. Based on previous target positions in image sequences, this algorithm predicts the target next position in the image sequence. A Graphical User Interface based tool was developed for simulation and test the Autonomous Visual Tracking with Extended Kalman Filter estimator using MATLAB Graphical User Interface Development Environment tool.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, India

    K. Narsimlu

  2. Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India

    T. V. Rajini Kanth

  3. Information Systems, Cyient Limited, Hyderabad, India

    Devendra Rao Guntupalli

Authors
  1. K. Narsimlu
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  2. T. V. Rajini Kanth
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  3. Devendra Rao Guntupalli
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Corresponding author

Correspondence to K. Narsimlu .

Editor information

Editors and Affiliations

  1. IDRBT, Center of Excellence in Analytics, Hyderabad, India

    Vadlamani Ravi

  2. Dept of Electrical Engineering, IIT Delhi, Delhi, Delhi, India

    Bijaya Ketan Panigrahi

  3. Indian Statistical Institute, Electronics and Communication Sci Unit, Kolkata, India

    Swagatam Das

  4. Div of Ctrl & Instrumentation, Nanyan Technological Univ, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

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Narsimlu, K., Rajini Kanth, T.V., Guntupalli, D.R. (2015). Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles. In: Ravi, V., Panigrahi, B., Das, S., Suganthan, P. (eds) Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015). Advances in Intelligent Systems and Computing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-319-27212-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-27212-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27211-5

  • Online ISBN: 978-3-319-27212-2

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