| Presentation | 2012-03-29 Parts Score Map Integration for Partially Occluded Humans Detection Koichi KINOSHITA, Hiroshi MURASE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a human body detection framework based on parts scope map integration, which is robust to partially occluded human image. Generally part based body detection methods utilize part detectors information such as presence or absence within certain region or their positions, by integrating them using e.g. probability distributions model. However partial body regions itself tend to be not having distinctive feature like whole body and it likely to occur false positives in case of e.g. complex background region. Another problem is deterioration of performance in case of major parts occlusion. In this paper, we propose (1) score map integration method, (2) multilayered integration method to address partial occlution. (1) enables to distinguish part detection result of human body from them of non human body more clearly. (2) increases detection performance for partial occluded images. The evaluation result shows better performance especially in case of partial occlusion images in comparison to the traditinal method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | body detection / part based body detection / part detection |
| Paper # | PRMU2011-248,HIP2011-76 |
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| Conference Information | |
| Committee | HIP |
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| Conference Date | 2012/3/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Human Information Processing (HIP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Parts Score Map Integration for Partially Occluded Humans Detection |
| Sub Title (in English) | |
| Keyword(1) | body detection |
| Keyword(2) | part based body detection |
| Keyword(3) | part detection |
| 1st Author's Name | Koichi KINOSHITA |
| 1st Author's Affiliation | Research & Development HQ, Omron Corporation:Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Hiroshi MURASE |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| Date | 2012-03-29 |
| Paper # | PRMU2011-248,HIP2011-76 |
| Volume (vol) | vol.111 |
| Number (no) | 500 |
| Page | pp.pp.- |
| #Pages | 6 |
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