Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles

Narsimlu Kemsaram, T.V. Rajini Kanth, Devendra Rao Guntupalli

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1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015)
EditorsPonnuthurai Nagaratnam Suganthan, Vadlamani Ravi, Swagatam Das, Bijaya Ketan Panigrahi
Place of PublicationBerlin
PublisherSpringer
Pages31-42
Number of pages12
ISBN (Electronic)978-3-319-27212-2
ISBN (Print)978-3-319-27211-5
DOIs
Publication statusPublished - 1 Dec 2015
Externally publishedYes
Event5th International Conference on Fuzzy and Neuro Computing (FANCCO 2015) - Hyderabad, India
Duration: 17 Dec 201519 Dec 2015
Conference number: 5

Publication series

NameAdvances in Intelligent Systems and Computing
Volume415
ISSN (Print)2194-5357

Conference

Conference5th International Conference on Fuzzy and Neuro Computing (FANCCO 2015)
Abbreviated titleFANCCO 2015
CountryIndia
CityHyderabad
Period17/12/1519/12/15

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Keywords

  • Autonomous visual tracking system
  • Extended Kalman Filter Ground moving target
  • Ground stationary target
  • Image tracking software
  • Micro aerial vehicles

Cite this

Kemsaram, N., Rajini Kanth, T. V., & Guntupalli, D. R. (2015). Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles. In P. N. Suganthan, V. Ravi, S. Das, & B. K. Panigrahi (Eds.), Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015) (pp. 31-42). (Advances in Intelligent Systems and Computing; Vol. 415). Berlin: Springer. https://doi.org/10.1007/978-3-319-27212-2_3