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In this paper, we present a full-automatic Spatio-Temporal GrabCut human segmentation methodology. GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model for seed initialization. Spatial information is included by means of Mean Shift clustering whereas temporal coherence is considered by the historical of Gaussian Mixture Models. Moreover, human...
Multi-pose face detection has been one of difficult and hot issues in face detection research nowadays, and urgently need to be solved in practical application. In this paper, a multi-pose face detection algorithm based on facial features and AdaBoost algorithm is introduced. Making full use of facial skin color information firstly, the most background regions can be quickly excluded and the skin...
In this paper, we propose a high performance face recognition system based on the probability distribution functions (PDF) extracted from discrete wavelet transform in different colour channels. The PDFs of the equalized and segmented faces in different subband images obtained from discrete wavelet transform (DWT) are used as statistical feature vectors for the recognition of faces by minimizing the...
This paper extends the face detection framework proposed by Viola and Jones to handle all upright face poses between full left and full right profiles and also describes its combination with Camshift based face tracking system. The whole 180deg degree range was divided into 5 sub-ranges and their corresponding view based detectors are constructed separately. Face detection framework is a combination...
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