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Analysis of institutional authors

Montero AAuthorGranados AAuthorRodriguez FAuthor
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Proceedings Paper

Compression-based clustering of video human activity using an ASCII encoding

Publicated to:14th Conference On Artificial Intelligence In Medicine, Aime 2013. 11140 LNCS 66-75 - 2018-01-01 11140 LNCS(), DOI: 10.1007/978-3-030-01421-6_7

Authors: Sarasa G; Montero A; Granados A; Rodriguez F

Affiliations

Universidad Autónoma de Madrid - Author
Universidad Complutense de Madrid - Author

Abstract

© Springer Nature Switzerland AG 2018. Human Activity Recognition (HAR) from videos is an important area of computer vision research with several applications. There are a wide number of methods to classify video human activities, not without certain disadvantages such as computational cost, dataset specificity or low resistance to noise, among others. In this paper, we propose the use of the Normalized Compression Distance (NCD), as a complementary approach to identify video-based HAR. We have developed a novel ASCII video data format, as a suitable format to apply the NCD in video. For our experiments, we have used the Activities of Daily Living Dataset, to discriminate several human activities performed by different subjects. The experimental results presented in this paper show that the NCD can be used as an alternative to classical analysis of video HAR.

Keywords
ClusteringData miningDendrogramHuman activity recognitionImage processingNormalized compression distanceSilhouette coefficientSimilaritySurveillance

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

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 2025-05-11:

  • WoS: 1
  • Scopus: 1
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 2025-05-11:

  • 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: 3 (PlumX).
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 (Sarasa G) and Last Author (RODRIGUEZ ORTIZ, FRANCISCO BORJA).