| 書目名稱 | Moving Object Detection Using Background Subtraction |
| 編輯 | Soharab Hossain Shaikh,Khalid Saeed,Nabendu Chaki |
| 視頻video | http://file.papertrans.cn/640/639775/639775.mp4 |
| 概述 | Includes supplementary material: |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field. |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | Background subtraction; Frame differencing; Moving object detection from video; Object tracking; Optical |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-07386-6 |
| isbn_softcover | 978-3-319-07385-9 |
| isbn_ebook | 978-3-319-07386-6Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2014 |
|Archiver|手機版|小黑屋|
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