Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling

Noor M. Al-Shakarji; Filiz Bunyak; Guna Seetharaman; Kannappan Palaniappan

doi:10.1109/AIPR.2017.8457953

Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling

Noor M. Al-Shakarji
, Filiz Bunyak
, Guna Seetharaman
, Kannappan Palaniappan

University of Missouri-Columbia
University of Technology- Iraq
Naval Research Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538612354
DOIs	https://doi.org/10.1109/AIPR.2017.8457953
State	Published - Jul 2 2017
Externally published	Yes
Event	2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017 - Washington, United States Duration: Oct 10 2017 → Oct 12 2017

Publication series

Name	Proceedings - Applied Imagery Pattern Recognition Workshop
Volume	2017-October
ISSN (Print)	2164-2516

Conference

Conference	2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017
Country/Territory	United States
City	Washington
Period	10/10/17 → 10/12/17

ASJC Scopus Subject Areas

General Engineering

Keywords

discriminative modeling
kernelized correlation filter
ridge regression
Tracking
wide area motion imagery

Access to Document

10.1109/AIPR.2017.8457953

Cite this

Al-Shakarji, N. M., Bunyak, F., Seetharaman, G., & Palaniappan, K. (2017). Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017 Article 8457953 (Proceedings - Applied Imagery Pattern Recognition Workshop; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIPR.2017.8457953

Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling. / Al-Shakarji, Noor M.; Bunyak, Filiz; Seetharaman, Guna et al.
2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8457953 (Proceedings - Applied Imagery Pattern Recognition Workshop; Vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Shakarji, NM, Bunyak, F, Seetharaman, G & Palaniappan, K 2017, Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling. in 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017., 8457953, Proceedings - Applied Imagery Pattern Recognition Workshop, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017, Washington, United States, 10/10/17. https://doi.org/10.1109/AIPR.2017.8457953

Al-Shakarji NM, Bunyak F, Seetharaman G, Palaniappan K. Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling. In 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8457953. (Proceedings - Applied Imagery Pattern Recognition Workshop). doi: 10.1109/AIPR.2017.8457953

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title = "Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling",

keywords = "discriminative modeling, kernelized correlation filter, ridge regression, Tracking, wide area motion imagery",

author = "Al-Shakarji, \{Noor M.\} and Filiz Bunyak and Guna Seetharaman and Kannappan Palaniappan",

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BT - 2017 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Vehicle tracking in wide area motion imagery using KC-LoFT multi-feature discriminative modeling

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this