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General information |
| Author |
Lin, Chin-Teng; Li, Dong-Lin; Lai, Jian-Hao; Han, Ming-Feng; Chang, Jyh-Yeong |
| Published |
InTech Open Access Publisher, 2012
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| Abstract |
Humans are the most important tracking objects
in surveillance systems. However, human tracking is not
enough to provide the required information for
personalized recognition. In this paper, we present a
novel and reliable framework for automatic age
estimation based on computer vision. It exploits global
face features based on the combination of Gabor wavelets
and orthogonal locality preserving projections. In
addition, the proposed system can extract face aging
features automatically in real‐time. This means that the
proposed system has more potential in applications
compared to other semi‐automatic systems. The results
obtained from this novel approach could provide clearer
insight for operators in the field of age estimation to
develop real‐world applications. |
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International Journal of Advanced Robotic Systems
Author: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Published: 2004
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