Gait-based human age estimation using age group-dependent manifold learning and regression
نویسندگان
چکیده
منابع مشابه
Prediction of chronological age based on Demirjian dental age using robust ridge regression method
Introduction: Estimation of age has an important role in legal medicine, endocrine diseases and clinical dentistry. Correspondingly, evaluation of dental development stages is more valuable than tooth erosion. In this research, the modeling of calendar age has been done using new and rich statistical methods. Considerably, it can be considering as a practicable method in medical science that is...
متن کاملFacial age estimation based on label-sensitive learning and age-oriented regression
This paper provides a new age estimation approach, which distinguishes itself with the following three contributions. First, we combine distance metric learning and dimensionality reduction to better explore the connections between facial features and age labels. Second, to exploit the intrinsic ordinal relationship among human ages and overcome the potential data imbalance problem, a label-sen...
متن کاملAge Classification Based on Gait Using HMM
In this paper we propose a new framework for age classification based on human gait using Hidden Markov Model (HMM). A gait database including young people and elderly people is built. To extract appropriate gait features, we consider a contour related method in terms of shape variations during human walking. Then the image feature is transformed to a lower-dimensional space by using the Frame ...
متن کاملAge Group Estimation using Facial Features
Human face is the non-verbal portal into the person. A person’s gender, mood, country of origin, age category, and identity can be identified from the face. There has been a growing interest in automatic age estimation from facial images due to a variety of potential applications in law enforcement, security control, and human computer interaction (HCI). This paper presents a method to improve ...
متن کاملUsing Unsupervised Deep Learning for Human Age Estimation Problem
Automatic facial age estimation is a challenging task upcoming in recent years. In this paper, we propose using the supervised deep learning features to improve an accuracy of the existing age estimation algorithms. There are many approaches solving the problem, an active appearance model and the bio-inspired features are two of them which showed the best accuracy. For experiments we chose popu...
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: Multimedia Tools and Applications
سال: 2018
ISSN: 1380-7501,1573-7721
DOI: 10.1007/s11042-018-6049-7