Resumo

MORENO ARBOLEDA, Francisco; GUZMAN LUNA, Jaime Alberto  e  GOMEZ ARIAS, Sebastian Alonso. Analysis and Detection in V-Formations with Outliers. Ing. Univ. [online]. 2014, vol.18, n.1, pp.43-57. ISSN 0123-2126.

A diversity of movement patterns may be identified when studying a set of moving entities. One of these patterns is called V-formation since its shape resembles such letter. Informally, a set of entities shows a V-formation if they are located in one of its two characteristic lines. In this paper, we propose a model for identifying V-formations with outliers in a list of moving entities. An outlier is an entity of the formation that is apart from its characteristic lines. We present the formal rules of our model and an algorithm for detecting outliers. Our model was validated in NetLogo, a programming and modeling environment for simulating natural and social phenomena.

Palavras-chave : Moving objects; movement patterns; V-formation; outliers; Outlier; movement patterns; V training; atypically separated values.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )