Human Action Recognition Using Time Delay Input Radial Basis Function Networks
نویسندگان
چکیده
منابع مشابه
A Time Delay Radial Basis Function Network for Phoneme Recognition
| This paper presents the Time Delay Radial Basis Function Network (TDRBF) for recognition of pho-nemes. The TDRBF combines features from Time Delay Neural Networks (TDNN) and Radial Basis Functions (RBF). The ability to detect acoustic features and their temporal relationship independent of position in time is inherited from TDNN. The use of RBFs leads to shorter training times and less parame...
متن کاملAutomatic Face Recognition using Radial Basis Function Networks
It is well known that the task of automatic face recognition in dynamic environments is very hard. The key problem is that everyday influences, such as lighting, head pose and expression, can lead to greater variation between images of the same person than between images of different people. However, there must be some essential invariant set of features that allow us to recognise familiar face...
متن کاملPartial Face Recognition Using Radial Basis Function Networks
This paper describes a face recognition system that uses partial face images (for example, eye, nose, and ear images) for input data. The recognition technique is based on using Radial Basis Function (RBF) networks. As compared with using a standard backpropagation (BP) learning algorithm, the RBF networks are far superior for the face recognition task. From the experimental results of face rec...
متن کاملPartial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the network to the activaimages are significant for face recognition. In this tion pattern. paper, we present a method for partial face extraction and recognition based on Radial Basis Function (RBF) networks. Focus has been ...
متن کاملFace Recognition using Radial Basis Function Neural Networks
This paper presents experiments using an adaptive learning compo nent based on Radial Basis Function RBF networks to tackle the unconstrained face recognition problem using low resolution video in formation Firstly we performed preprocessing of face images to mimic the e ects of receptive eld functions found at various stages of the hu man vision system These were then used as input representat...
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: International Journal of Simulation Systems Science & Technology
سال: 2020
ISSN: 1473-804X
DOI: 10.5013/ijssst.a.15.03.07