Gender and Age Recognition of People Based on Full Body of Pedestrian Images

• Main Authors: Lin, Ying-Shao, 林盈少
• Other Authors: Wang, Tsai-Pei
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/kknvwb

碩士 === 國立交通大學 === 多媒體工程研究所 === 106 === Gender and age recognition of people are implemented on the CRP database in this paper. The main object of study is the moving full body of pedestrian. After the pedestrians are located in the frame by each region, the sequence of pedestrians are recognized in each region integration to arrive at the final gender and age recognition results. The features used in the algorithm are two major categories of LBP and HOG features, and SVM is used as a classifier for recognition. Finally, we also make a systemic evaluation to evaluate all experiments in this paper, to analyze the results of gender and age recognition which are good or bad.