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The use of computational vision plays an important role for security\udpurposes, nowadays it is largely used and, day by day, is earning new resources due\udto the technological progress. The majority of current security systems are based in a\udmonitoring where the analysis is made by the user's interpretation. To improve this\udprocess, it has been proposed models of analysis and recognition of personal\udcharacteristics, like height, skin tone, facial recognition, among others, in order to\udprovide the search for recognitions more efficient. In this work, there are used\uddifferent algorithms like HOG and SVM for identification and tracking of people, color\udspaces RGB, HSV and YCrCb, that are combined and used for the identification and\udextraction of characteristics like the type and color of clothes of each person for\udmonitoring along the video.\ud\ud\u

IDENTIFICAÇÃO E RASTREAMENTO DE PESSOAS POR MEIO DE IMAGENS DIGITAIS CAPTURADAS A PARTIR DE CÂMERAS DE VIDEO