Relato de Experiência: Aprendizagem Ativa no Ensino de Visão Computacional com Cascade e HOG

Computer vision, a growing field in artificial intelligence, is crucialin sectors such as healthcare and security. This article describes theapplication of active teaching methodology in a short course oncomputer vision, involving 26 Software Engineering students. Thecourse covered the techniques of Cascade Classifier and Histogramof Oriented Gradients (HOG), integrating theory and practice over20 hours of activities. The effectiveness of the course was evaluatedthrough quantitative and qualitative analyses. Quantitativeresults showed a significant improvement in students’ performance,while qualitative analysis indicated an increase in practical skillsand understanding of the techniques, despite challenges related totheoretical workload and activity support. The practical approachwas praised, with suggestions to improve the teaching materialsand support during activities.