Abstract Sign recognition has been one of the challenging problems in computer vision for years. For many sign languages, signs formed by two overlapping hands are a part of the vocabulary. In this work, an algorithm for recognizing such signs with overlapping hands is presented. Two formulations are proposed for the problem. For both approaches, the input blob is converted to a graph representing the finger and palm structure which is essential for sign understanding. The first approach uses a graph subdivision as the basic framework, while the second one casts the problem to a label assignment problem and integer programming is applied for finding an optimal solution. Experimental results are shown to illustrate the feasibility of our approaches.
Sign Recognition Using Constrained Optimization
01.01.2007
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Sign Language , Sharp Turn , Gesture Recognition , Sign Recognition , Hand Shape Pattern Recognition , Algorithm Analysis and Problem Complexity , Computer Science , Artificial Intelligence (incl. Robotics) , Biometrics , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics
SIGN RECOGNITION DEVICE, SIGN RECOGNITION SYSTEM, AND SIGN RECOGNITION METHOD
Europäisches Patentamt | 2024
|