This paper introduces an Augmented Reality system recognizing hand gestures and shows results of the evaluation. The system's user can interact with artificial objects and manipulate their position and motions simply by his hand gestures. Hand gesture recognition is based on Histograms of Oriented Gradients (HOG). Salient features of human hand appearance are detected by HOG blocks. Blocks of different sizes are tested to define the most suitable configuration. To select the most informative blocks for classification multiclass AdaBoostSVM algorithm is applied. Evaluated recognition rate of the algorithm is 94.0%.
Multimedia documents can be transferred quickly and easily across the Internet, and has attracted considerable interest in multimedia security and multimedia copyright protection. This paper proposes an animage watermarking scheme embedding a binary watermark image using Discrete Wavelet Transform (DWT) coefficients. The original image is transformed to the wavelet domain and decomposed in subbands. The binary watermark image, as a sequence of bits, is embedded into the middle frequency subbands. The original image is not needed to detect the watermark image. The proposed method detected fewer watermark bits but produced an approximately 10dB higher PSNR than the max/min method.
We present a quantitative evaluation of an algorithm for model-based face recognition. The algorithm actively learns how individual faces vary through video sequences, providing on-line suppression of confounding factors such as expression, lighting and pose. By actively decoupling sources of image variation, the algorithm provides a framework in which identity evidence can be integrated over a sequence. We demonstrate that face recognition can be considerably improved by the analysis of video sequences. The method presented is widely applicable in many multi-class interpretation problems.
Since ATM networks support many types of traffic generated by variety of applications, they must be able to guarantee QoS for these types of traffic. Q0S control schemes should support the individual service classes that are available through the ATM networks. Since, in general, the quality of a VC is affected by other VCs in the same transmission path and in other service classes, traffic control should support multiple service classes.In this paper, we propose the mechanism for the buffer allocation and the cell scheduling algorithm with logical separation of a single buffer in the ATM switching system, and analyze the cell loss probability and the delay of each traffic(CBR/VBRIABR) based on the weighted value and the dynamic cell service scheduling algorithm. The proposed switch system classifies composite traffics incoming to the switch, according to the characteristic of traffic(VC), and then stores them in the logically separated buffers(quality service lines). And the proposed system adopts the round-robin service with weighted value in order to transmit cells in buffers through output port.
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