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Hand gesture contour detection is the key technology of gesture recognition based on computer vision. In this paper, the GVF Snake model and the skin color elliptical model is proposed to extract the contour of the static hand gesture. The skin color elliptical model is used to calculate the field of the hand and the initial contour. Hand gesture contour is detected by the GVF Snake model based on...
Aim at the faults of the traditional background difference method based on Bayes Rule when detects motion hand gestures, such as the existence of interference regions, slow computing speed and so on. A method of dynamic hand gesture detection based on local background updates and skin color model is proposed in this paper. The skin color region in a single image is extracted through skin color model...
The hand gesture is the most common and natural way for human daily interaction. In this paper, we propose a novel approach to hand extraction based on active skin color model. The skin color model is first built by the non-linear transformation in YCbCr color space. Then the obtained model is applied to hand segmentation. Hand feature is extracted by calculating the seven moments of hand segmentation...
Scene classification is an important application field of multimedia information technology, whereas how to extract features from image is one of the key technologies in scene classification and recognition. A new method of extracting features is presented in this paper, it extracts features through gray level-gradient co-occurrence matrix in the neighborhood of interest points, also it can reserve...
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