This paper presents the preliminary results of an automated computer vision system for the enviromnent monitoring context. For this purpose, we used the OpenSURF method to extract local features of predefined patterns from static images, and stored into a database. The proposed approach was applied over video sequences captured sequentially from three cameras, and therefore the patterns identified are converted into objects of interest in a monitored enviromnent.