| Presentation | 2010-05-13 Coding HoG in 40 Minutes Toshihiko YAMASAKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Histogram of Oriented Gradients(HoG)is one of the most popular algorithms for first person vision, namely, detecting important objects or recognizing the scene in the image/video in real time. In the HoG algorithm, the magnitude and the orientation of the gradients in the input are calculated to form a histogram, which is used as a feature vector. The HoG algorithm has some advantages such as simplicity in implementation and high recognition/detection performance. In this paper, a rough idea of the HoG algorithm is introduced so that the readers can implement its essence within 40 minutes and within 100 lines. In addition, the HoG algorithm is applied to human/non-human recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Histogram of Oriented Gradients / HoG |
| Paper # | IE2010-20,PRMU2010-8,MI2010-8 |
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| Conference Information | |
| Committee | MI |
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| Conference Date | 2010/5/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
| Secretary | |
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| Paper Information | |
| Registration To | Medical Imaging (MI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Coding HoG in 40 Minutes |
| Sub Title (in English) | |
| Keyword(1) | Histogram of Oriented Gradients |
| Keyword(2) | HoG |
| 1st Author's Name | Toshihiko YAMASAKI |
| 1st Author's Affiliation | Department of Information and Communication Engineering, The University of Tokyo() |
| Date | 2010-05-13 |
| Paper # | IE2010-20,PRMU2010-8,MI2010-8 |
| Volume (vol) | vol.110 |
| Number (no) | 28 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |