Alinhamento do modelo de forma ativa com máquinas de vetores de suporte aplicado na deteção de veículos

• Autor(a) principal: Aragão, Maria Géssica dos Santos
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFS
• Texto Completo: https://ri.ufs.br/handle/riufs/3360
• topic: Computação; Processamento de imagens; Técnicas digitais; Campos vetor; Segmentação; Veículos; Máquinas de vetores de suporte; Modelos deformáveis; Modelos de forma ativa; Vehicle; Segmentation; Support vector machines; Deformable models; Active shape models; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Many applications of digital image processing uses object detection techniques. Detecting an object is usually related to locate the area around it, while shape detection is related to nd, precisely, the set of points that constitutes its shape. When the problem involves detecting shapes that have predictable changes, deformable models show to be an e ective solution. The approach developed in this work refers to the vehicle shape detection in frontal position by methods which are divided into two levels, the rst level is composed by a cascade of support vector machines and the second one is a deformable model. The use of deformable models favors the detection of vehicle shape same when its image is occluded by objects such as trees