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This paper proposes a fusion model that merges the context-aware multimodal information of JADE (Java agent development framework). The context-aware multimodal information system is developed from the multi-heterogeneous context sensing devices. This multimodal not only gathers multidimensional data that aims to recognize and analyze the collected emotion information, but also emotion manages the...
A new method of facial representation proposed for face recognition by support vector machine (SVM). For face representation we have used a five-step multiresolution method, namely the two-dimensional discrete wavelet transform (DWT) is used to transform the faces to a more discriminated space and then use the approximations of subimages in each scale as feature points to classify different faces...
In this paper, an adaptive skin color model switching based on AdaBoost method for face tracking is proposed. Possible skin clusters under illumination varying scenes are detected by an optimal skin color model, which is adaptively selected by a well-defined quality measure. The possible facial candidates are further validated by AdaBoost to determine whether human faces exist in video sequences or...
This paper presents a non-intrusive fatigue detection system based on the video analysis of drivers. The system relies on multiple visual cues to characterize the level of alertness of the driver. The parameters used for detecting fatigue are: eye closure duration measured through eye state information and yawning analyzed through mouth state information. Initially, the face is located through Viola-Jones...
Graphical passwords are believed to be more secure than traditional textual passwords, but the authentications are usually complex and boring for users. Furthermore, most of the existing graphical password schemes are vulnerable to spyware and shoulder surfing. A novel graphical password scheme ColorLogin is proposed in this paper. ColorLogin is implemented in an interesting game way to weaken the...
Illumination variation is one of the most difficult problems for face recognition. In this paper, we represent a new ordinal feature based method for face recognition under varying illumination. We employ 2-D wavelet transform to compress face images and extract ordinal features from them. Here, the ordinal feature is extracted more easily than before and competent for face recognition, which is invariant...
This paper proposes a three-stage scheme to obtain real-time and reliable face detection in intersecting monitoring. The proposed three-stage scheme is mainly based on skin color and facial features. In the first stage scheme, skin-color model is used to obtain skin regions. The second stage scheme uses face template measure to obtain face candidates. Finally, facial features are measured to detect...
Facial expression recognition is one of the most popular topics in emotion analysis. Most facial expression recognition systems are implemented by general expression models. Since facial expressions may be expressed differently by different people, inaccurate results are unavoidable. The proposed facial expression recognition system recognizes facial expressions using facial features of the individual...
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