Presentation | 2014-03-06 Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model Katsuya KONDO, Takuya OKAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In crowded scenes where it is generally difficult to track moving objects, detection and tracking of objects are very challenging tasks. In this report, we detect objects by focusing on object's shape and intensity distribution. And we propose a method of individually tracking many objects in crowded scenes. This method applies Dependent Dirichlet Process Hidden Markov Model to the optical flows of moving objects. Each object is detected by calculating quadratic form of adaptive ring filter output and it is classified by a support vector machine. Also, movement line is obtained by tracking an object. Some experimental results show that the huge flows can be analyzed, and each object can be individually tracked in crowded scenes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hidden Markov Model / Flow Analysis / Object Tracking / Crowded Scenes |
Paper # | SIS2013-60 |
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Committee | SIS |
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Conference Date | 2014/2/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Object Tracking in Crowded Scenes by Dependent Dirichlet Process Hidden Markov Model |
Sub Title (in English) | |
Keyword(1) | Hidden Markov Model |
Keyword(2) | Flow Analysis |
Keyword(3) | Object Tracking |
Keyword(4) | Crowded Scenes |
1st Author's Name | Katsuya KONDO |
1st Author's Affiliation | Dept. Information and Electronics, Graduate School of Eng. Tottori University() |
2nd Author's Name | Takuya OKAMOTO |
2nd Author's Affiliation | Dept. Information and Electronics, Graduate School of Eng. Tottori University |
Date | 2014-03-06 |
Paper # | SIS2013-60 |
Volume (vol) | vol.113 |
Number (no) | 467 |
Page | pp.pp.- |
#Pages | 4 |
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