| 書目名稱 | Motion History Images for Action Recognition and Understanding |
| 編輯 | Md. Atiqur Rahman Ahad |
| 視頻video | http://file.papertrans.cn/640/639545/639545.mp4 |
| 概述 | Examines the state-of-the-art motion history image (MHI) method.Suitable for both undergraduate and graduate students familiar with basic image processing, and for researchers involved in human action |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers.? The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges.? Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants. |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | Motion History Image (MHI) |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-4730-5 |
| isbn_softcover | 978-1-4471-4729-9 |
| isbn_ebook | 978-1-4471-4730-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | Md. Atiqur Rahman Ahad 2013 |
|Archiver|手機(jī)版|小黑屋|
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