Visual detection of vehicles using a bag-of-features approach

• Autor(es): Pinto, Pedro ; Tomé, Ana Maria ; Santos, Vitor
• Data: 2013
• Identificador Persistente: http://hdl.handle.net/10773/10910
• Origem: RIA - Repositório Institucional da Universidade de Aveiro
• Assunto(s): Intelligent vehicles; Object recognition; Machine learning algorithms; Support vector machines; Genetic algorithms
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

This paper presents and evaluates the performance of a method for vehicle detection using a bag-of-features methodology. The algorithm combines Speeded Up Robust Features with a Support Vector Machine. An optimization to the bag-of-features dictionary based on a genetic algorithm for attribute selection is also described. The results obtained show that this method can successfully address the problem of vehicle classification.