Continuous Machine Learning in Computer Vision - Tracking with Adaptive Class Models
dc.contributor.author | Stolkin, Rustam | en_US |
dc.date.accessioned | 2016-08-02T08:13:34Z | |
dc.date.available | 2016-08-02T08:13:34Z | |
dc.date.issued | 2007 | en_US |
dc.identifier.isbn | 978-3-902613-06-6 | en_US |
dc.identifier.other | HPU3160487 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/22716 | |
dc.description.abstract | This chapter has explored a number of techniques in vision based tracking, with the common theme of continuous relearning of models of the background and the tracked | en_US |
dc.format.extent | 19 p. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.publisher | INTECH Open Access Publisher | en_US |
dc.subject | Scene Reconstruction Pose Estimation and Tracking | en_US |
dc.title | Continuous Machine Learning in Computer Vision - Tracking with Adaptive Class Models | en_US |
dc.type | Book | en_US |
dc.size | 273KB | en_US |
dc.department | Education | en_US |
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