Presentation | 2007-03-16 Feature selection for object recognition by Histograms of Oriented Gradients Takuya KOBAYASHI, Akinori HIDAKA, Takio KURITA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Histograms of Oriented Gradients (HOG) is one of the well-known features for object recognition. HOG is calculated by taking orientation histograms of edge intensity in a local region. N.Dalal et al. proposed an object detection algorithm in which HOG features were extracted from all locations in an image grid. Linear Support Vector Machine (SVM) was used to design a classifier. In this paper, a subset of HOG features was selected by stepwise forward selection to improve the generalization. The improvement of the recognition rate was confirmed through the experiments using MIT pedestrian dataset. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Object Recognition / Feature Selection / Edge Orientation Histogram / Principal Components Analaysis |
Paper # | PRMU2006-275 |
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Committee | PRMU |
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Conference Date | 2007/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Feature selection for object recognition by Histograms of Oriented Gradients |
Sub Title (in English) | |
Keyword(1) | Object Recognition |
Keyword(2) | Feature Selection |
Keyword(3) | Edge Orientation Histogram |
Keyword(4) | Principal Components Analaysis |
1st Author's Name | Takuya KOBAYASHI |
1st Author's Affiliation | Univercity of Tsukuba() |
2nd Author's Name | Akinori HIDAKA |
2nd Author's Affiliation | Univercity of Tsukuba |
3rd Author's Name | Takio KURITA |
3rd Author's Affiliation | National Institute of Advanced Industrial Science of Technology |
Date | 2007-03-16 |
Paper # | PRMU2006-275 |
Volume (vol) | vol.106 |
Number (no) | 606 |
Page | pp.pp.- |
#Pages | 6 |
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