Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 42nd Annual Conference of the Institute of Image Electronics Engineers of Japan 2014
Session ID : S6-4
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Optimization of Feature Extraction Region for Classification of Pedestrian Attribute
*Yuri HIROKANETomoharu NAGAO
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Abstract
In this paper , I propose to perform classification of pedestrian attribute . To determine the attribute, local features are needed. But we can’t successfully extract features if feature extraction region is fixed. Therefore, I determine the appropriate division of each attribute by optimizing feature extraction region using genetic algorithm.
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© 2014 The Institute of Image Electronics Engineers of Japan
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