Presentation | 2011-09-05 Feature Selection for Object Tracking based on Online Real Boosting Takayoshi YAMASHITA, Hironobu FUJIYOSHI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, Boosting algorithms like AdaBoost and Real AdaBoost are used in online learning. The weak classifiers for online boosting are selected in an iterative manner in Adaboost based Online Boosting. And due to this, the computing cost increases for online training and it might also over-fit to the current sample. On the other hand, Online Real Boosting based on Real Adaboost groups the weak classifier, and selects an optimal weak classifier from each group. Besides reducing the computational cost, it prevents overfitting. The grouping process for feature selection is yet to be discussed. In this paper, we discuss the various grouping process and its effect on the tracking performance. As a result, it is observed that feature type based grouping of the weak classifiers results in the best performance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Online Real Boosting / object tracking / feature selection / grouping / random |
Paper # | PRMU2011-68,IBISML2011-27 |
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Committee | PRMU |
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Conference Date | 2011/8/29(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Feature Selection for Object Tracking based on Online Real Boosting |
Sub Title (in English) | |
Keyword(1) | Online Real Boosting |
Keyword(2) | object tracking |
Keyword(3) | feature selection |
Keyword(4) | grouping |
Keyword(5) | random |
1st Author's Name | Takayoshi YAMASHITA |
1st Author's Affiliation | OMRON Corporation() |
2nd Author's Name | Hironobu FUJIYOSHI |
2nd Author's Affiliation | Chubu University |
Date | 2011-09-05 |
Paper # | PRMU2011-68,IBISML2011-27 |
Volume (vol) | vol.111 |
Number (no) | 193 |
Page | pp.pp.- |
#Pages | 7 |
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