Presentation | 2007-09-03 An Improved Method for Background Subtraction and Its Application to Tracking of Moving Objects Noriyuki Kawashima, Nozomu Nakamura, Rika Hagiwara, Hiroshi Hanaizumi, |
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Abstract(in English) | This paper describes a new method for the background subtraction with statistical test for detecting moving objects. There are two methods; optical flow and background subtraction, to detect moving objects. The former has high performance to detect in movement, but gives us blurred edges. In the point of view of accurate edge detection, the latter has better performance than the former does. The background subtraction method, however, gives us noises by the swing of a camera in actual shooting environment. The proposed method introduces the mahalanobis distance for suppressing scene fluctuation effects and density normalization for avoiding the shadow effects. Furthermore we propose two systems application of detection of moving objects; a system for emergent detecting objects and a system for tracing moving objects using plural cameras. |
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Paper # | PRMU2007-50,HIP2007-59 |
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Committee | HIP |
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Conference Date | 2007/8/27(1days) |
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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) | An Improved Method for Background Subtraction and Its Application to Tracking of Moving Objects |
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1st Author's Name | Noriyuki Kawashima |
1st Author's Affiliation | Graduate School of Computer and Information Sciences, Hosei University() |
2nd Author's Name | Nozomu Nakamura |
2nd Author's Affiliation | Graduate School of Computer and Information Sciences, Hosei University |
3rd Author's Name | Rika Hagiwara |
3rd Author's Affiliation | Graduate School of Computer and Information Sciences, Hosei University |
4th Author's Name | Hiroshi Hanaizumi |
4th Author's Affiliation | Graduate School of Computer and Information Sciences, Hosei University |
Date | 2007-09-03 |
Paper # | PRMU2007-50,HIP2007-59 |
Volume (vol) | vol.107 |
Number (no) | 207 |
Page | pp.pp.- |
#Pages | 6 |
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