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The hand segmentation is the critical pre-processing of the gesture recognition application. Nowadays, to achieve a robust hand segmentation under cluttered background is still challenging. Advanced research in model-driven approach based on the depth information has obtained impressive performance. However, it is unable to deal with the hand very close to the body part. Also, a large number of marked...
Aiming at the human face detection in color images under complex background, a face detection method based on the combination of skin color model in YCgCr and AdaBoost algorithm is proposed in this article. Firstly, it uses skin color model in YCgCr color space to detect candidate face region in the tested image, and then further verifies the face region by the Adaboost algorithm with the added new...
This paper proposes a face detection algorithm combined skin color detection and improved AdaBoost algorithm. First, skin regions are segmented from the detected image, and candidate face regions are obtained in terms of the statistical characteristics of human face; Then focusing on the phenomena of overfitting in training process of classical AdaBoost algorithm, this paper proposes a novel method...
On the Internet, the nude images caused the spread of a large number of social problems, how to identify the nude image accurately is a problem needing to be solved urgently. Therefore, we integrate both image processing method and support vector machines (SVM), this paper studies a new and enhanced approach on recognition of nude image, namely, combine a face detection model, skin color model and...
Head detection in images and videos plays an important role in a wide range of computer vision and multimedia applications. In this paper, we propose a new head detection algorithm that is capable of handling significantly variable conditions in terms of viewpoint (i.e. frontal, profile, back view, from -180 degrees to +180 degrees), tilt angle (i.e. from horizontal to aerial), scale and resolution...
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