| Presentation | 2010-12-03 How should we combine detection and tracking to achieve accurate pedestrian recognition? Hiroki SUGANO, Ryusuke MIYAMOTO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Accurate pedestrian recognition is required in collision avoidance of automotive applications and intruder detection systems. Generally, pedestrian recognition is performed by combining detection and tracking. The combination of different two procedures makes it possible to recognize occluded pedestrians and multiple pedestrians. In this paper, we have proposed a novel pedestrian recognition scheme combining CoHOG-based detection and HSV-based tracking using the particle filter. In the proposed scheme, dense proposal distribution required for tracking based on the particle filter is generated by convoluting likelihood obtained from CoHOG-based detection with Gaussian kernel. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Pedestrian Recognition / CoHOG / Particle Filter |
| Paper # | SIS2010-50 |
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| Conference Information | |
| Committee | SIS |
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| Conference Date | 2010/11/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | How should we combine detection and tracking to achieve accurate pedestrian recognition? |
| Sub Title (in English) | |
| Keyword(1) | Pedestrian Recognition |
| Keyword(2) | CoHOG |
| Keyword(3) | Particle Filter |
| 1st Author's Name | Hiroki SUGANO |
| 1st Author's Affiliation | Dept. of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology() |
| 2nd Author's Name | Ryusuke MIYAMOTO |
| 2nd Author's Affiliation | Dept. of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology |
| Date | 2010-12-03 |
| Paper # | SIS2010-50 |
| Volume (vol) | vol.110 |
| Number (no) | 322 |
| Page | pp.pp.- |
| #Pages | 6 |
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