Human age-estimation system based on double-level feature fusion of face and gait images

2018 ◽  
Vol 9 (3) ◽  
pp. 222-236 ◽  
Author(s):  
Prachi Punyani ◽  
Rashmi Gupta ◽  
Ashwani Kumar
2018 ◽  
Vol 6 (7) ◽  
pp. 550-555
Author(s):  
Mittala Thulasi ◽  
Chandra Mohan Reddy Sivappagari

2019 ◽  
pp. 1-15
Author(s):  
Sarah Ellingham ◽  
Joe Adserias-Garriga

2016 ◽  
Vol 294 ◽  
pp. 105-109
Author(s):  
Anna Woźniak ◽  

The article presents the previous and current methods and markers used for estimation of human age. The analysis of biological material recovered from the scene of the event makes it possible to estimate the age of a person who deposited traces. The new methods allow determining the depositor’s age, based on biological traces commonly found at the scene, such as blood, saliva or sperm, with an accuracy of a few years. The previously used age estimation techniques required larger quantities of biological material, whereas their prediction error amounted to even several decades.


Author(s):  
Cuixian Chen ◽  
Wankou Yang ◽  
Yishi Wang ◽  
Karl Ricanek ◽  
Khoa Luu

Author(s):  
DePeng Zheng ◽  
JiXiang Du ◽  
WenTao Fan ◽  
Jing Wang ◽  
ChuanMin Zhai

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