| 书目名称 | Human Activity Recognition and Prediction | | 编辑 | Yun Fu | | 视频video | | | 概述 | Covers the most state-of-the-art topics of activity recognition and prediction.Discusses both methodology and real-world practice of human activity recognition.Contains contributions from top experts | | 图书封面 |  | | 描述 | This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. | | 出版日期 | Book 2016 | | 关键词 | Action Prediction; Action Recognition; Actionlets; Activity Prediction; Activity Recognition; Computer Vi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-27004-3 | | isbn_softcover | 978-3-319-80055-4 | | isbn_ebook | 978-3-319-27004-3 | | copyright | Springer International Publishing Switzerland 2016 |
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发表于 2025-3-21 17:40:22
