Lopes, Nuno VieiraCouto, Pedro A.Bustince, HumbertoMelo-Pinto, Pedro2018-09-262018-09-262009-09http://hdl.handle.net/10400.8/3552Feature tracking is one of the most challenging and important tasks in computer vision playing an important role in several areas. In this paper, a new approach for multi feature tracking is presented. Information from the image gray levels and the features movement model is aggregated through the use of fuzzy sets with a fuzzy inference engine to give the final output. Experimental results are presented showing that the approach successfully copes with usual difficulties within this problem.engComputer visionFeature trackingFuzzy logicjournal article