A Study on Human Observer Classification and Ou-Isir Database for Gender and Age Estimation
M.Hema1, K.Babulu2, N.Balaji3

1M.Hema, ECE, JNTUK Vizianagaram, vizianagaram, (Andhra Pradesh), India.
2K.Babulu, ECE, JNTUK Vizianagaram, vizianagaram, (Andhra Pradesh), India.
3N.Balaji, ECE, JNTUK Vizianagaram, vizianagaram, (Andhra Pradesh), India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1618-1623 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2305037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Identifying a person among a group of peoples is very difficult. Forthis, many techniques are introduced. Among which Gait identification is one of the best approaches. Because of its quality against unclear images, for a better data extraction silhouette image is used. This data like step size, foot length, walking hip moment etc., of a particularperson, is stored in the database to match it with obtained image. However, if we don’t have particular person data in the database, there is a probability of knowing the gender and age of that person. In this paper, initially, to identify the gender of a person from his silhouette image, the human observer’s classification of gender methodis used. This method includes a predictio n preference of some peoples are considered for identifying a person by his hair, chest, hip style, dressing, from a static image. After getting the gender, it is easy to estimate the age from the obtained image using OUISIR Database. In this work, we took two different groups of ages as children’s and adults.
Keywords: Gait analysis, Gender classification, Human silhouette, CCR, HOG, and CASIA

Scope of the Article: Classification