Presentation | 2008-07-15 Object Tracking by Active Camera Network Heitoh Zen, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a novel cooperative tracking technique that enables multiple active (PTZ) cameras to track a target autonomously in wide area. To track the target on an image plane, we combine the AdaBoost and the particle filter. After the initial learning, the classifiers are updated with the selected particles to follow the view-change of a target. Since every camera's status is gathered on the server in real-time, each camera should find the target again referring these status data, even if it loses the target. The outdoor experiments results with three cameras configuration is shown. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | active (PTZ) camera / tracking / boosting / particle filter |
Paper # | IE2008-46,MVE2008-40 |
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Conference Information | |
Committee | MVE |
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Conference Date | 2008/7/7(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
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Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Object Tracking by Active Camera Network |
Sub Title (in English) | |
Keyword(1) | active (PTZ) camera |
Keyword(2) | tracking |
Keyword(3) | boosting |
Keyword(4) | particle filter |
1st Author's Name | Heitoh Zen |
1st Author's Affiliation | Institute of Media and Info. Tech., Chiba University() |
Date | 2008-07-15 |
Paper # | IE2008-46,MVE2008-40 |
Volume (vol) | vol.108 |
Number (no) | 128 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |