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In this paper the contribution of multiresolution analysis to the face recognition performance is examined. We refer to the paradigm that in classification tasks, the use of multiple observations and their judicious fusion at the data, feature or decision level improves the correct decision performance. In our proposed method, prior to the subspace(More)
This paper presents an automatic video genre classification system, which utilizes several low level audio-visual features as well as cognitive and structural information, and in case of web videos tag-based features, to classify the types of TV programs and YouTube videos. Classification is performed using an ensemble of support vector machines. The visual(More)
In this paper we present the experimental results of a generic local appearance based face representation approach obtained from the first and fourth experiments of the Face Recognition Grand Challenge (FRGC) version 1 data. The introduced representation approach is compared with the baseline system with the standard distance metrics of L1 norm, L2 norm and(More)
In this paper, the effects of feature selection and feature normalization to the performance of a local appearance based face recognition scheme are presented. From the local features that are extracted using block-based discrete cosine transform, three feature sets are derived. These local feature vectors are normalized in two different ways; by making(More)
In this paper, we present the classification sub-system of a real-time video-based face identification system which recognizes people entering through the door of a laboratory. Since the subjects are not asked to cooperate with the system but are allowed to behave naturally, this application scenario poses many challenges. Continuous, uncontrolled(More)
We focused this work on handling variation in facial appearance caused by 3D head pose. A pose normalization approach based on fitting active appearance models (AAM) on a given face image was investigated. Profile faces with different rotation angles in depth were warped into shape-free frontal view faces. Face recognition experiments were carried out on(More)
Keywords: Face recognition from video Face detection Feature tracking Door monitoring Discrete cosine transform Fusion a b s t r a c t In this paper, we present a real-time video-based face recognition system. The developed system identifies subjects while they are entering a room. This application scenario poses many challenges. Continuous , uncontrolled(More)