Video-based face recognition using Exemplar-Driven Bayesian Network classifier

John See, Mohammad Faizal Ahmad Fauzi, Chikkannan Eswaran
2011 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)  
Many recent works in video-based face recognition involved the extraction of exemplars to summarize face appearances in video sequences. However, there has been a lack of attention towards modeling the causal relationship between classes and their associated exemplars. In this paper, we propose a novel Exemplar-Driven Bayesian Network (EDBN) classifier for face recognition in video. Our Bayesian framework addresses the drawbacks of typical exemplar-based approaches by incorporating temporal
more » ... inuity between consecutive video frames while encoding the causal relationship between extracted exemplars and their parent classes within the framework. Under the EDBN framework, we describe a non-parametric approach of estimating probability densities using similarity scores that are computationally quick. Comprehensive experiments on two standard face video datasets demonstrated good recognition rates achieved by our method.
doi:10.1109/icsipa.2011.6144128 dblp:conf/icsipa/SeeFE11 fatcat:ugx2z4is5fg7zc65owwgk7a4vm