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

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

doi:10.1007/978-3-319-27212-2_3

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	English
Title of host publication	Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015)
Editors	Ponnuthurai Nagaratnam Suganthan, Vadlamani Ravi, Swagatam Das, Bijaya Ketan Panigrahi
Place of Publication	Berlin
Publisher	Springer
Pages	31-42
Number of pages	12
ISBN (Electronic)	978-3-319-27212-2
ISBN (Print)	978-3-319-27211-5
DOIs	https://doi.org/10.1007/978-3-319-27212-2_3
Publication status	Published - 1 Dec 2015
Externally published	Yes
Event	5th International Conference on Fuzzy and Neuro Computing (FANCCO 2015) - Hyderabad, India Duration: 17 Dec 2015 → 19 Dec 2015 Conference number: 5

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	415
ISSN (Print)	2194-5357

Conference

Conference	5th International Conference on Fuzzy and Neuro Computing (FANCCO 2015)
Abbreviated title	FANCCO 2015
Country/Territory	India
City	Hyderabad
Period	17/12/15 → 19/12/15

Keywords

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

Access to Document

10.1007/978-3-319-27212-2_3

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). Springer. https://doi.org/10.1007/978-3-319-27212-2_3

Kemsaram, Narsimlu ; Rajini Kanth, T.V. ; Guntupalli, Devendra Rao. / Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles. Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015). editor / Ponnuthurai Nagaratnam Suganthan ; Vadlamani Ravi ; Swagatam Das ; Bijaya Ketan Panigrahi. Berlin : Springer, 2015. pp. 31-42 (Advances in Intelligent Systems and Computing).

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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.",

keywords = "Autonomous visual tracking system, Extended Kalman Filter Ground moving target, Ground stationary target, Image tracking software, Micro aerial vehicles",

author = "Narsimlu Kemsaram and {Rajini Kanth}, T.V. and Guntupalli, {Devendra Rao}",

year = "2015",

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doi = "10.1007/978-3-319-27212-2_3",

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

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Kemsaram, N, Rajini Kanth, TV & Guntupalli, DR 2015, Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles. in PN Suganthan, V Ravi, S Das & BK Panigrahi (eds), Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015). Advances in Intelligent Systems and Computing, vol. 415, Springer, Berlin, pp. 31-42, 5th International Conference on Fuzzy and Neuro Computing (FANCCO 2015), Hyderabad, India, 17/12/15. https://doi.org/10.1007/978-3-319-27212-2_3

Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles. / Kemsaram, Narsimlu; Rajini Kanth, T.V.; Guntupalli, Devendra Rao.

Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015). ed. / Ponnuthurai Nagaratnam Suganthan; Vadlamani Ravi; Swagatam Das; Bijaya Ketan Panigrahi. Berlin : Springer, 2015. p. 31-42 (Advances in Intelligent Systems and Computing; Vol. 415).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2015/12/1

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N2 - 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.

AB - 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.

KW - Autonomous visual tracking system

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KW - Ground stationary target

KW - Image tracking software

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Kemsaram N, Rajini Kanth TV, Guntupalli DR. Autonomous visual tracking with Extended Kalman Filter estimator for micro aerial vehicles. In Suganthan PN, Ravi V, Das S, Panigrahi BK, editors, Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing-2015 (FANCCO-2015). Berlin: Springer. 2015. p. 31-42. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-27212-2_3

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

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