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State-of-the-art cost-sensitive learning based techniques in biometrics ignore cost difference between users and determine the loss only based on the misrecognition category. In practice, this may not always hold and the user individuality may also affect the loss of misrecognition. For example, misrecognizing an imposter as an administrator can cause a much more serious loss than misrecognizing it...
We describe a face detection system based on multiscale part models for drivers' fatigue detection. Our system is able to represent human face using two eye areas and one mouth area. By using mulriple simple template instead of single template with complex details, new model observably improved the computational efficiency and veracity for face detection. This system also considers the specialty of...
In this paper, the concept of spherical image model is proposed, along with the algorithm of generating the spherical image of the model. Experimental results show that the algorithm meets real-time requirements.
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...
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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