PROCEEDINGS OF THE ITE ANNUAL CONVENTION
Online ISSN : 2424-2292
Print ISSN : 1343-1846
ISSN-L : 1343-1846
2014
Conference information

7-5 Action Recognition for the Lifelog of Deskwork
Kazuki KISHIToshihiko YAMASAKIKiyoharu AIZAWA
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CONFERENCE PROCEEDINGS FREE ACCESS

Pages 7-5-1_-_7-5-2_

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Abstract
Lifelog, logging the whole data of daily life is getting popular recently. In this paper, we propose a method to recognize the action of deskwork which has relation to many people by using skeleton and image features. The manually labeling cost reduction method is also discussed. By labeling 1% of whole frames, about 90% labels are correctly estimated.
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© 2014 The Institute of Image Information and Television Engineers
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