Online and unsupervised face recognition for continuous video stream

Hongwen Huo; Jufu Feng

doi:10.1117/12.832416

30 October 2009 Online and unsupervised face recognition for continuous video stream

Hongwen Huo; Jufu Feng

Author Affiliations +

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960V (2009) https://doi.org/10.1117/12.832416
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

We present a novel online face recognition approach for video stream in this paper. Our method includes two stages: pre-training and online training. In the pre-training phase, our method observes interactions, collects batches of input data, and attempts to estimate their distributions (Box-Cox transformation is adopted here to normalize rough estimates). In the online training phase, our method incrementally improves classifiers' knowledge of the face space and updates it continuously with incremental eigenspace analysis. The performance achieved by our method shows its great potential in video stream processing.

Citation Download Citation

Hongwen Huo, Hongwen Huo, Jufu Feng, Jufu Feng, } "Online and unsupervised face recognition for continuous video stream", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960V (30 October 2009); doi: 10.1117/12.832416; https://doi.org/10.1117/12.832416

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