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On the generalization power of face and gait in gender recognition
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Guan, Yu, Wei, Xingjie and Li, Chang-Tsun (2014) On the generalization power of face and gait in gender recognition. International Journal of Digital Crime and Forensics, Volume 6 (Number 1). doi:10.4018/ijdcf.2014010101 ISSN 1941-6210.
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Abstract
Human face/gait-based gender recognition has been intensively studied in the previous literatures, yet most of them are based on the same database. Although nearly perfect gender recognition rates can be achieved in the same face/gait dataset, they assume a closed-world and neglect the problems caused by dataset bias. Real-world human gender recognition system should be dataset-independent, i.e., it can be trained on one face/gait dataset and tested on another. In this paper, the authors test several popular face/gait-based gender recognition algorithms in a cross-dataset manner. The recognition rates decrease significantly and some of them are only slightly better than random guess. These observations suggest that the generalization power of conventional algorithms is less satisfied, and highlight the need for further research on face/gait-based gender recognition for real-world applications.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Alternative Title: | On the generalization power of face and gait gender recognition methods | ||||
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
| Journal or Publication Title: | International Journal of Digital Crime and Forensics | ||||
| Publisher: | I G I Global | ||||
| ISSN: | 1941-6210 | ||||
| Official Date: | 2014 | ||||
| Dates: |
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| Volume: | Volume 6 | ||||
| Number: | Number 1 | ||||
| Number of Pages: | 8 | ||||
| DOI: | 10.4018/ijdcf.2014010101 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Date of first compliant deposit: | 28 December 2015 | ||||
| Embodied As: | 1 |
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- On the generalization power of face and gait in gender recognition. (deposited 16 Dec 2014 11:03) [Currently Displayed]
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