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Human action recognition plays a significant part in the computer vision and multimedia research society due to its numerous applications. However, despite different approaches proposed to address this problem, some issues regarding the robustness and efficiency of the action recognition still need to be solved. Moreover, due to the speedy development of multimedia applications from numerous origins,...
Faces express many social indications, including gender, ethnicity, age, expression and identity, most of them have drawn thriving attention from various research communities, for instance neuroscience, computer science and psychology. In this paper, we propose a new approach to classify gender and ethnicity by merging both texture and shape features extracted from face images. Gabor filter is used...
The sign language considered as the main language for deaf and dumb people. So, a translator is needed when a normal person wants to talk with a deaf or dumb person. In this paper, we present a framework for recognizing Bangla Sign Language (BSL) using Support Vector Machine. The Bangla hand sign alphabets for both vowels and consonants have been used to train and test the recognition system. Bangla...
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