Presentation | 2007-09-04 Detection of Human Behavior Changing by Surveillance Camera Tatsuhiko Kagehiro, Takehito Ogata, Hiroshi Sako, Josef Kittler, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We developed the human behavior recognition system by using surveillance camera. This system detects human behavior changing. I adapted the hybrid method which can change the nearest tracking method and particle filter method dynamically, so this system can track some humans who are overlapped. Because of Self Organizing feature Maps, this system can output the classification result without the learning step in advance. In this report, I defined that human walking condition is normal, and the human fighting condition is abnormal. As a result, the rate of false alarm in the walking data set is 1.8%, and the sensitivity rate in the fighting data set is 64.2% in all frames. I found that the most effective feature is the average of the optical flow direction (sine and cosine). |
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Paper # | PRMU2007-77,HIP2007-86 |
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Committee | PRMU |
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Conference Date | 2007/8/27(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Detection of Human Behavior Changing by Surveillance Camera |
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1st Author's Name | Tatsuhiko Kagehiro |
1st Author's Affiliation | Hitachi Research Laboratory, Hitachi, Ltd.() |
2nd Author's Name | Takehito Ogata |
2nd Author's Affiliation | Hitachi Research Laboratory, Hitachi, Ltd. |
3rd Author's Name | Hiroshi Sako |
3rd Author's Affiliation | Central Research Laboratory, Hitachi, Ltd. |
4th Author's Name | Josef Kittler |
4th Author's Affiliation | Centre for Vision, Speech, and Signal Processing, University of Surrey |
Date | 2007-09-04 |
Paper # | PRMU2007-77,HIP2007-86 |
Volume (vol) | vol.107 |
Number (no) | 206 |
Page | pp.pp.- |
#Pages | 8 |
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