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.
Israa Hadi Ali and Adil Abbas Majeed, 2016. Classification of Motions Types by Rough Set Theory in Video Tracking Applications. Asian Journal of Information Technology, 15: 2775-2782.