Skin-based Adaptive Background Subtraction for Hand Gesture Segmentation

Faculty Engineering Year: 2015
Type of Publication: ZU Hosted Pages:
Authors:
Rania Ahmed Elsayed Ahmed Mansour Khalifa
Journal: ( IEEE International Conference on Electronics, Circuits, and Systems (ICECS (Institute of Electrical and Electronics Engineers (IEEE Volume:
Keywords : Skin-based Adaptive Background Subtraction , Hand Gesture    
Abstract:
Hand detection and localization is one of the challenging problems in image processing. It is the major first step in many computer vision applications like hand gesture recognition system that often requires as input the location of the ha
    
     
 
       

Author Related Publications

  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Speech Compression Techniques based on Gaussian Mixture Model and Wavelet Analysis", Ain Shams University, Faculty of Engineering, 2009 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Hybrid Method based on Multi-Feature Descriptor for Static Sign Language Recognition", (Institute of Electrical and Electronics Engineers (IEEE, 2017 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Hand Gesture Recognition Based on Dimensionality Reduction of Histogram of Oriented Gradients", (Institute of Electrical and Electronics Engineers (IEEE, 2017 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Performance Enhancement of Indoor Cellular Visible Light Communication through Cell Size and Wavelength Reuse Pattern", Springer Nature, 2023 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Deep learning-based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks", MDPI, 2023 More

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  • Azhar Ahmed Hamdy Abdelsatar, "Performance Study For Color Filter Array Demosaicking Methods", IEEE conference, 2007 More
  • Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Hybrid Method based on Multi-Feature Descriptor for Static Sign Language Recognition", (Institute of Electrical and Electronics Engineers (IEEE, 2017 More
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