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 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.
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Keyword(in English) Generic object recognition / Video / Spatio-temporal CoHOG features / BoF representation
Paper # PRMU2011-124
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Conference Information
Committee PRMU
Conference Date 2011/12/8(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
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
Date of Issue