Israa Hadi  Ali, Adil Abbas  Majeed, 
    Classification of Motions Types by Rough Set Theory in Video Tracking Applications,
    Asian Journal of Information Technology,
    Volume 15,Issue 16,
    2016,
    Pages 2775-2782,
    ISSN 1682-3915,
    ajit.2016.2775.2782,
    (https://makhillpublications.co/view-article.php?doi=ajit.2016.2775.2782)
    Abstract: Rough Set Theory (RST) is a moderately new mathematical model to imperfect knowledge. RST concepts are utilized to analysis and classification of uncertain, imprecise, or incomplete knowledge and information. The purpose of this research is to classify group of kinds of persons’ motions numerate overlapping situations with each other similar to (bending, jacking, jumping, pjumping, running, siding, skipping, walking, waving) and the difficulty of distinguishing among these movements so we found and analyzed a set of attributes such as displacement, velocity, different in length and slope and because of the overlapping which resulted between these qualities so that we have been used RST which is used in distinguishing forms of overlapping movements types in classification process.
    Keywords: Rough set theory;video tracking;motion;classification;information system;decision system