Gender Recognition from Unconstrained and Articulated Human Body
Gender recognition has many useful applications, ranging from business intelligence to image search and social activity analysis. Traditional research on gender recognition focuses on face images in a constrained environment. This paper proposes a method for gender recognition in articulated human b...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/513240 |
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| _version_ | 1832549324047777792 |
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| author | Qin Wu Guodong Guo |
| author_facet | Qin Wu Guodong Guo |
| author_sort | Qin Wu |
| collection | DOAJ |
| description | Gender recognition has many useful applications, ranging from business intelligence to image search and social activity analysis. Traditional research on gender recognition focuses on face images in a constrained environment. This paper proposes a method for gender recognition in articulated
human body images acquired from an unconstrained environment in the real world. A systematic study of some critical issues in body-based gender recognition, such as which body parts are informative, how many body parts are needed to combine together, and what representations are good for articulated body-based gender recognition, is also presented. This paper also pursues data fusion schemes and efficient feature dimensionality reduction based on the partial least squares estimation. Extensive experiments are performed on two unconstrained databases which have not been explored before for gender recognition. |
| format | Article |
| id | doaj-art-aa3b0354251f419c925c7d6670cf5665 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-aa3b0354251f419c925c7d6670cf56652025-02-03T06:11:31ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/513240513240Gender Recognition from Unconstrained and Articulated Human BodyQin Wu0Guodong Guo1Department of Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, ChinaLane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USAGender recognition has many useful applications, ranging from business intelligence to image search and social activity analysis. Traditional research on gender recognition focuses on face images in a constrained environment. This paper proposes a method for gender recognition in articulated human body images acquired from an unconstrained environment in the real world. A systematic study of some critical issues in body-based gender recognition, such as which body parts are informative, how many body parts are needed to combine together, and what representations are good for articulated body-based gender recognition, is also presented. This paper also pursues data fusion schemes and efficient feature dimensionality reduction based on the partial least squares estimation. Extensive experiments are performed on two unconstrained databases which have not been explored before for gender recognition.http://dx.doi.org/10.1155/2014/513240 |
| spellingShingle | Qin Wu Guodong Guo Gender Recognition from Unconstrained and Articulated Human Body The Scientific World Journal |
| title | Gender Recognition from Unconstrained and Articulated Human Body |
| title_full | Gender Recognition from Unconstrained and Articulated Human Body |
| title_fullStr | Gender Recognition from Unconstrained and Articulated Human Body |
| title_full_unstemmed | Gender Recognition from Unconstrained and Articulated Human Body |
| title_short | Gender Recognition from Unconstrained and Articulated Human Body |
| title_sort | gender recognition from unconstrained and articulated human body |
| url | http://dx.doi.org/10.1155/2014/513240 |
| work_keys_str_mv | AT qinwu genderrecognitionfromunconstrainedandarticulatedhumanbody AT guodongguo genderrecognitionfromunconstrainedandarticulatedhumanbody |