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Analysis of institutional authors

Berjon, DanielCorresponding AuthorCuevas, CarlosAuthorMoran, FranciscoAuthorGarcia, NarcisoAuthor

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June 9, 2019
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GPU-based Implementation of an Optimized Nonparametric Background Modeling for Real-time Moving Object Detection

Publicated to: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS. 59 (2): 361-369 - 2013-07-15 59(2), DOI: 10.1109/TCE.2013.6531118

Authors:

Berjón, D; Cuevas, C; Morán, F; García, N
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Affiliations

Univ Politecn Madrid, GTI, E-28040 Madrid, Spain - Author

Abstract

Answering to the growing demand of computer vision tools for the last generations of consumer electronic devices equipped with smart cameras, several nonparametric moving detection algorithms have been developed. These algorithms, by modeling both background and foreground from spatio-temporal reference data, provide satisfactory results in many complex scenarios. However, to be computationally efficient, they apply some simplifications that decrease the quality of the detections. This paper presents a novel real-time implementation of an optimized spatio-temporal nonparametric moving object detection strategy. To improve the quality of previous algorithms, the bandwidths of the kernels required to model the background are dynamically estimated, and the background model is also selectively updated. The proposed implementation features smart cooperation between a computer/device's Central and Graphics Processing Units (CPU/GPU) and extensive usage of the texture mapping and filtering units of the latter, including a novel method for fast evaluation of Gaussian functions. Thanks to these features, high quality detection rates are achieved while respecting the real-time restrictions imposed by computer vision tools running on current consumer electronic devices(1).
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Keywords

3dtvBandwidthComputational efficiencyComputational modelingFrameworkGpuGraphics processing unitsHigh-qualityHighqualityKernelMoving object detectionObject detectionReal timeReal-time systemsSmart camerasSpatio-temporal nonparametric modelingSubtractionUsabilityUsability.

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE TRANSACTIONS ON CONSUMER ELECTRONICS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2013, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Media Technology. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 1.07, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-24, the following number of citations:

  • WoS: 23
  • Scopus: 28
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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: 19 (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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/86827/

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: 134
  • Downloads: 45
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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 (BERJON DIEZ, DANIEL) and Last Author (GARCIA SANTOS, NARCISO).

the author responsible for correspondence tasks has been BERJON DIEZ, DANIEL.

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Awards linked to the item

This work was supported in part by the Ministerio de Economia y Competitividad of the Spanish Government under project TEC2010-20412 (Enhanced 3DTV).
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