Presentation | 2015-02-23 Image Feature Descriptor of Rotation-Invariant Gradient Orientation for Pedestrian Detection under Changes of Posture Yuta HORIKAWA, Kousuke MATSUSHIMA, |
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Abstract(in English) | Pedestrian recognition is an important subject of research in automotive safe driving support technology. Combining image feature descriptors and classifiers is a classical method for pedestrian recognition. HOG are one of image feature descriptors and had shown high performance in pedestrian recognition. Various feature descriptors improving HOG have been proposing to date. The more similar feature vectors extracted from pedestrian learning images feature vectors extracted from ROI images are get, the more ROI images are recognized as pedestrian. However, it sometimes occurs that feature vectors extracted from pedestrian images aren't similar to feature vectors extracted form pedestrian learning images, because person can take various poses. One of the poses is caused by rotating person posture. This paper proposes rotation-invariant oriented gradient feature descriptors for rotating changes of posture. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | image feature descriptor / pedestrian detection / pattern recognition |
Paper # | ITS2014-42,IE2014-69 |
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Committee | ITS |
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Conference Date | 2015/2/16(1days) |
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Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Image Feature Descriptor of Rotation-Invariant Gradient Orientation for Pedestrian Detection under Changes of Posture |
Sub Title (in English) | |
Keyword(1) | image feature descriptor |
Keyword(2) | pedestrian detection |
Keyword(3) | pattern recognition |
1st Author's Name | Yuta HORIKAWA |
1st Author's Affiliation | Mechanical and Electrical Systems Engineering Advanced Course, Advanced Engineering School, Kurume National College of Technorogy() |
2nd Author's Name | Kousuke MATSUSHIMA |
2nd Author's Affiliation | Department of Control and Information Systems Engineering, Kurume National College of Technorogy |
Date | 2015-02-23 |
Paper # | ITS2014-42,IE2014-69 |
Volume (vol) | vol.114 |
Number (no) | 459 |
Page | pp.pp.- |
#Pages | 6 |
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