| Presentation | 2004/9/4 Detection of Abnormal Motion from a Scene Containing Multiple Persons' Moves Takuya NANRI, Nobuyuki OTSU, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes an abnormal motion detection method from a scene containing multiple persons' moves for video surveillance. In this method, normal motions are defined as motions that frequently happen, and abnormal motions as motions that depart from normal motion distribution. We adopted cubic higher order local auto-correlation (CHLAC) features for motion features, because the additivity of CHLAC combined with a linear subspace method leads to learning of normal motion and detection of abnormal motion in even a scene containing multiple persons' moves without segmentation of each object or tracking. In this experiment, tumbling motion was detected as abnormal motion in a scene containing multiple persons' walking, and the validity of the method was confirmed. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | PRMU2004-77 |
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| Committee | PRMU |
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| Conference Date | 2004/9/4(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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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 Abnormal Motion from a Scene Containing Multiple Persons' Moves |
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| 1st Author's Name | Takuya NANRI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| 2nd Author's Name | Nobuyuki OTSU |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo:National Institute of Advanced Industrial Science and Technology (AIST) |
| Date | 2004/9/4 |
| Paper # | PRMU2004-77 |
| Volume (vol) | vol.104 |
| Number (no) | 291 |
| Page | pp.pp.- |
| #Pages | 8 |
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