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In order to improve efficiency of face detector, fuzzy set theory is used in establishing distribution face detector. This detector trains the sample set by Haar-like feature and membership function, and selects appropriate weak classifiers through the feature setpsilas entropy and AdaBoost learning algorithm. Subsequently distribution face detector is established and tested on the MIT+CMU frontal...
Efficiently and accurately detecting pedestrians plays a crucial role in many vision applications such as video surveillance, multimedia retrieval and smart car etc. In order to find the right feature for this task, we first present a comprehensive experimental study on pedestrian detection using state-of-the-art locally-extracted features. Building upon our findings, we propose a new, simpler pedestrian...
An efficient algorithm for facial features extractions is proposed. The facial features we extracted are the edges of two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector to detect the face region and facial features regions. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effect if the...
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