Person Identification in Webcam Images An Application of Semi Supervised Learning in Matlab

Abstract:

An application of semi-supervised learning is made to the problem of person identification in low quality webcam images. Using a set of im- ages of ten people collected over a period of four months, the person identification task is posed as a graph-based semi-supervised learning prob- lem, where only a few training images are la- beled. The importance of domain knowledge in graph construction is discussed, and experi- ments are presented that clearly show the advan- tage of semi-supervised learning over standard supervised learning. The data used in the study is available to the research community to encour- age further investigation of this problem.