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This paper proposes a system to recognize isolated American Sign Language and numbers in real-time from Bumblebee stereo camera using Latent-Dynamic Conditional Random Fields (LDCRFs). Our system is based on three main stages: preprocessing, feature extraction and classification. In preprocessing stage, color and 3D depth map are used to detect and track the hand. The second stage, combining features...
We introduce an action recognition approach based on Partial Least Squares (PLS) and Support Vector Machines (SVM). We extract very high dimensional feature vectors representing spatio-temporal properties of actions and use multiple PLS regressors to find relevant features that distinguish amongst action classes. Finally, we use a multi-class SVM to learn and classify those relevant features. We applied...
As sole feature extraction method cannot reflect comprehensive face emotional information in expression recognition, this article proposes one kind expression recognition method based on VLBP and optical flow mixed features. In this method, firstly it extracts block vlbp features of eye region. Then it detects feature points of mouth region automatically and extracts optical flow feature vector of...
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