June 9, 2019
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Article

Robust Tracking in Aerial Imagery Based on an Ego-Motion Bayesian Model

Publicated to: Eurasip Journal on Advances in Signal Processing. 2010 (837405): 837405- - 2010-09-24 2010(837405), DOI: 10.1155/2010/837405

Authors:

del Blanco, Carlos R; Jaureguizar, Fernando; Garcia, Narciso
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Affiliations

Univ Politecn Madrid, Escuela Tecn Super Ingenieros Telecomunicac, E-28040 Madrid, Spain - Author

Abstract

A novel strategy for object tracking in aerial imagery is presented, which is able to deal with complex situations where the camera ego-motion cannot be reliably estimated due to the aperture problem (related to low structured scenes), the strong ego-motion, and/or the presence of independent moving objects. The proposed algorithm is based on a complex modeling of the dynamic information, which simulates both the object and the camera dynamics to predict the putative object locations. In this model, the camera dynamics is probabilistically formulated as a weighted set of affine transformations that represent possible camera ego-motions. This dynamic model is used in a Particle Filter framework to distinguish the actual object location among the multiple candidates, that result from complex cluttered backgrounds, and the presence of several moving objects. The proposed strategy has been tested with the aerial FLIR AMCOM dataset, and its performance has been also compared with other tracking techniques to demonstrate its efficiency.
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Keywords

Automatic target trackingRegistrationSequences

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Eurasip Journal on Advances in Signal Processing due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2010, it was in position 118/247, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Electrical & Electronic. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Electrical and Electronic Engineering.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

  • Google Scholar: 9
  • WoS: 6
  • Scopus: 5
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/7271/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 543
  • Downloads: 328
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (BLANCO ADAN, CARLOS ROBERTO DEL) and Last Author (GARCIA SANTOS, NARCISO).

the author responsible for correspondence tasks has been BLANCO ADAN, CARLOS ROBERTO DEL.

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Awards linked to the item

This work has been partially supported by the Comunidad de Madrid under project S-0505/TIC-0223 (Pro-Multidis) and by the Ministerio de Ciencia e Innovacion of the Spanish Government under project TEC2007-67764 (SmartVision).
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