Real Time Person Independent Communication Between Dumb and Blind Person Using Sign and Text Detection
نویسندگان
چکیده
منابع مشابه
Robust Person-Independent Visual Sign Language Recognition
Sign language recognition constitutes a challenging field of research in computer vision. Common problems like overlap, ambiguities, and minimal pairs occur frequently and require robust algorithms for feature extraction and processing. We present a system that performs person-dependent recognition of 232 isolated signs with an accuracy of 99.3% in a controlled environment. Person-independent r...
متن کاملPerson-Independent 3D Sign Language Recognition
We present an automatic sign language recognition system that is vision-based, person-independent, and non-obtrusive. Its task is to evaluate the correctness of an isolated sign. The unique features are an adaptive skin model to find the hands, 3D features, Dynamic Time Warping for synchronising signs and automatic feature selection for finding the best sign representation. A Dutch 120-sign voc...
متن کاملPerson Independent Facial Expression Detection using MBWM and Multiclass SVM
Facial expression analysis is an attractive, challenging and important field of study in facial analysis. It's important applications include many areas such as human–computer interaction, human emotion analysis, biometric authentication, exhaustion detection and data-driven animation. For successful facial expression recognition, the first step is to arrive at an appropriate facial repres...
متن کاملReal-Time Multi-Person Tracking with Time-Constrained Detection
This paper presents a robust real-time multi-person tracking framework for busy street scenes. Tracking-by-detection approaches have recently been successfully applied to this task. However, their run-time is still limited by the computationally expensive object detection component. In this paper, we therefore consider the problem of making best use of an object detector with a fixed and very s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioscience Biotechnology Research Communications
سال: 2020
ISSN: 0974-6455,2321-4007
DOI: 10.21786/bbrc/13.14/70