Bio-inspired Boosting for Moving Objects Segmentation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Martins, I (Autor) Outra; Pedro Carvalho (Autor) Outra; Luís Corte-Real (Autor) FEUP; Luis Alba Castro, JL (Autor) Outra

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Páginas: 397-406

13th International Conference on Image Analysis and Recognition in Memory of Mohamed Kamel (ICIAR)

Povoa de Varzim, PORTUGAL, JUL 13-15, 2016

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00K-PCV

DOI: 10.1007/978-3-319-41501-7_45

Abstract (EN): Developing robust and universal methods for unsupervised segmentation of moving objects in video sequences has proved to be a hard and challenging task. State-of-the-art methods show good performance in a wide range of situations, but systematically fail when facing more challenging scenarios. Lately, a number of image processing modules inspired in biological models of the human visual system have been explored in different areas of application. This paper proposes a bio-inspired boosting method to address the problem of unsupervised segmentation of moving objects in video that shows the ability to overcome some of the limitations of widely used state-of-the-art methods. An exhaustive set of experiments was conducted and a detailed analysis of the results, using different metrics, revealed that this boosting is more significant when challenging scenarios are faced and state-of-the-art methods tend to fail.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10