A simplified visual cortex model for efficient image codding and object recognition

Abstract

In this article a simplified model of biologically inspired mechanisms for an object recognition is presented. The proposed approach is based on the HMAX hierarchical cortex model that was proposed by Riesenhuber and Poggio [1] and later extended by Serre et al [2]. The work described in this paper is an extension of a previous research [3, 4, 5, 6] focused on a computer vision software (named SMAS - Stereovision Mobility Aid System) dedicated for visually impaired persons. Therefore, the emphasis here is put on a one-class detection problem of dangerous objects with the possibility of a future deployment of the proposed solution on a mobile device. The conducted experiments show that the introduced modifications of the hierarchical HMAX model allows for an efficient feature extraction and a visual information coding without decreasing the effectiveness of an object detection process.