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Unlike conventional human detection in RGB images or intensity images, we investigate three dimensional (3D) Human detection and tracking in depth sequence in this paper. Boundary problem is a critical issue that influences performance of detection and tracking. In this paper we design a tracking system consisting of Microsoft Kinect and stepping motor, which can guarantee people always stay in the...
Audio is an important part of multimedia, and it has many useful applications in real life. Audio event classification is a key technology in audio management and application. Supervised audio event classification requires labeling large amounts of samples, while manual labeling is a very time-consuming work. In this paper we propose SVMCKNND, an active learning method for SVM classifier, to deal...
The composition of distributed resources is a pervasive challenge facing almost all modern application fields, especially for large-scale scientific applications. In most of these applications, several resources need to be integrated in order to fulfill the requirements of a complex scientific task. However, even though current Web Services have emerged as a paradigm for managing complex distributed...
With the advent of grid and service-oriented technologies, scientific workflows have been introduced in response to the increasing demand of researchers for assembling diverse, highly-specialized applications, allowing them to exchange large heterogeneous datasets in order to accomplish a complex scientific task. Much research has already been done to provide efficient scientific workflow management...
A new feature extraction approach for face recognition that combines principal component analysis and fractional-step linear discriminant analysis is proposed in this paper. In order to reduce the computational complexity of the algorithm, principal component analysis is first used to reduce the dimension. In addition, before using F-LDA, we transform the pooled within-class scatter matrix into an...
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