| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Outline of Final Research Achievements |
Image- and video-based object recognition usually requires a large amount of training data for sufficient performance. However, it is not always possible to obtain such a large dataset. Hence, we propose a method for extracting useful classifiers from a set of existing classifiers that is obtained by using training data of other scenes. Combining the extracted classifiers enables us to achieve better performance than solely using training data of a new scene. Experimental results show the effectiveness of the proposed method.
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