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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sihao Ding Ying Li Junda Zhu Zheng, Y.F. Dong Xuan |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA (Sihao Ding; Ying Li; Zheng, Y.F.) || Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China (Junda Zhu) || Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA (Dong Xuan) |
| Abstract | This paper presents a novel video-based face recognition algorithm using a sequential sampling and updating scheme, named sequential sample consensus (SSC). Different from the existing approaches, the training video sequences serve as the sample space, and the person's identity in the testing sequence is characterized by an identity probability mass function (PMF) that is sequentially updated. For each testing frame, samples are randomly drawn from the sample space with the numbers of samples for each identity determined by the identity PMF. The testing frame is evaluated against the drawn samples to calculate the weights, and the sample weights are utilized for updating the identity PMF. The proposed algorithm is robust against misclassification caused by pose variations, and sensitive to identity switching during recognition. The algorithm is evaluated using both public and self-made databases, and shows better performance than other video-based face recognition approaches. |
| Starting Page | 336 |
| Ending Page | 341 |
| File Size | 448279 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479907038 |
| DOI | 10.1109/AVSS.2013.6636662 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-27 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Databases Face recognition Video sequences Switches Face Testing |
| Content Type | Text |
| Resource Type | Article |
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