Robust Object Detection in Complex Backgrounds using ICA Compression

M.Asuncion Vicente, Cesar Fernandez, Oscar Reinoso, Carlos Perez
Miguel Hernandez University
Department of Industrial System Engineering
03202 Elche




This paper describes a method for recognizing real three-dimensional objects in non-controlled backgrounds using independent component analysis to eliminate redundant image information present in each object image. The proposed method is a two-step process that allows a coarse color-based detection and an exact localization using shape information. The paper describes an efficient implementation, making this approach suitable for real-time applications.