Presentation | 2011-12-15 A Study on Spatio-Temporal CoHOG Features for Recognition of Generic Objects in Video Shogo NAKAMURA, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Ichiro IDE, Hiroshi MURASE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recognizing objects in videos is one of the important technologies to search a large amount of videos efficiently on the Web. Recently, generic object recognition has been actively studied for still images, but almost not for videos. As for the generic object recognition in a video, it is important to use both the shape features and the motion features obtained from multiple frames in the video efficiently. In this paper, we propose spatio-temporal CoHOG (Co-occurrence Histograms of Oriented Gradients) features. This is an extension of CoHOG features that provide a high performance for pedestrian detection and others. The spatio-temporal CoHOG features are co-occurrence histograms of oriented spatio-temporal gradients in local regions in a video. In the recognition, a BoF (Bag of Features) representation and a kernel SVM are employed. We conducted an experiment on 1,000 videos including 10 categories collected from the Web. The experimental results showed the effectiveness of the spatio-temporal CoHOG features compared with conventional optical flow features and SIFT features. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Generic object recognition / Video / Spatio-temporal CoHOG features / BoF representation |
Paper # | PRMU2011-124 |
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Committee | PRMU |
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Conference Date | 2011/12/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | A Study on Spatio-Temporal CoHOG Features for Recognition of Generic Objects in Video |
Sub Title (in English) | |
Keyword(1) | Generic object recognition |
Keyword(2) | Video |
Keyword(3) | Spatio-temporal CoHOG features |
Keyword(4) | BoF representation |
1st Author's Name | Shogo NAKAMURA |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Daisuke DEGUCHI |
2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
3rd Author's Name | Tomokazu TAKAHASHI |
3rd Author's Affiliation | Faculty of Economics and Information, Gifu Shotoku Gakuen University |
4th Author's Name | Ichiro IDE |
4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
5th Author's Name | Hiroshi MURASE |
5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
Date | 2011-12-15 |
Paper # | PRMU2011-124 |
Volume (vol) | vol.111 |
Number (no) | 353 |
Page | pp.pp.- |
#Pages | 6 |
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