Fingerprint Measurements-Based Human Height Estimation

Author(s):  
Mohamed Ait Abderrahmane ◽  
Ibrahim Guelzim ◽  
Abdelkaher Ait Abdelouahad ◽  
Fatima Azzahra Amazal
2018 ◽  
Vol 3 (1) ◽  
pp. 16-22
Author(s):  
Julius Cézar Alves de LIMA ◽  
Yane Laiza da Silva OLIVEIRA ◽  
Patricia Moreira RABELLO ◽  
Yuri Wanderley CAVALCANTI ◽  
Bianca Marques SANTIAGO

Author(s):  
Shengzhe Li ◽  
Van Huan Nguyen ◽  
Mingjie Ma ◽  
Cheng-Bin Jin ◽  
Trung Dung Do ◽  
...  

2011 ◽  
Vol 212 (1-3) ◽  
pp. 27-31 ◽  
Author(s):  
Nerrolyn Ramstrand ◽  
Simon Ramstrand ◽  
Per Brolund ◽  
Kristin Norell ◽  
Peter Bergström

Author(s):  
Francesco Tosti ◽  
Carla Nardinocchi ◽  
Wissam Wahbeh ◽  
Claudio Ciampini ◽  
Maria Marsella ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jaehoon Jung ◽  
Inhye Yoon ◽  
Sangkeun Lee ◽  
Joonki Paik

This paper presents a normalized human height estimation algorithm using an uncalibrated camera. To estimate the normalized human height, the proposed algorithm detects a moving object and performs tracking-based automatic camera calibration. The proposed method consists of three steps: (i) moving human detection and tracking, (ii) automatic camera calibration, and (iii) human height estimation and error correction. The proposed method automatically calibrates camera by detecting moving humans and estimates the human height using error correction. The proposed method can be applied to object-based video surveillance systems and digital forensic.


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