MIAR ICT participation at Robot Vision 2013

Abstract

Abstract. This paper describes the participation of our team- MIAR ICT in the ImageCLEF 2013 Robot Vision Challenge. The task of the Challenge asked participants to classify imaged indoor scenes and recog-nize the predefined objects appeared in the imaged scene. Our approach is based on the recently proposed Kernel Descriptors framework, which is an effective representation for images. For the provided visual and depth sequences, we make a simple fusion at feature level. Then we use Linear Support Vector Machine (L-SVM) classifiers for both scene clas-sification and object recognition. At last, the temporal continuity of the given sequences is considered. Our team ranked the first among all the participants, showing the effectiveness of our proposed scheme.