PROCEEDINGS OF THE ITE ANNUAL CONVENTION
Online ISSN : 2424-2292
Print ISSN : 1343-1846
ISSN-L : 1343-1846
Proceedings of the ITE Annual Convention 2018
Conference information

Face detection using cascaded convolutional network
*Yoshihiko KAWAIRei ENDONaotsuna FUJIMORITakahiro MOCHIZUKI
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 22B-1-

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Abstract
Face detection is one of the most important techniques for video content analysis. This paper proposes a detection method using cascaded convolutional network. The method can reduce calculation time while maintaining detection accuracy by sequential detection procedures. In experiments, we used broadcast program to train networks and verified its effectiveness.
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© 2018 The Institute of Image Information and Television Engineers
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