| 书目名称 | Contextual Analysis of Videos |
| 编辑 | Myo Thida,How-lung Eng,Paolo Remagnino |
| 视频video | http://file.papertrans.cn/237/236909/236909.mp4 |
| 丛书名称 | Synthesis Lectures on Image, Video, and Multimedia Processing |
| 图书封面 |  |
| 描述 | Video context analysis is an active and vibrant research area, which provides means for extracting, analyzing and understanding behavior of a single target and multiple targets. Over the last few decades, computer vision researchers have been working to improve the accuracy and robustness of algorithms to analyse the context of a video automatically. In general, the research work in this area can be categorized into three major topics: 1) counting number of people in the scene 2) tracking individuals in a crowd and 3) understanding behavior of a single target or multiple targets in the scene. This book focusses on tracking individual targets and detecting abnormal behavior of a crowd in a complex scene. Firstly, this book surveys the state-of-the-art methods for tracking multiple targets in a complex scene and describes the authors‘ approach for tracking multiple targets. The proposed approach is to formulate the problem of multi-target tracking as an optimization problem of finding dynamic optima (pedestrians) where these optima interact frequently. A novel particle swarm optimization (PSO) algorithm that uses a set of multiple swarms is presented. Through particles and swarms div |
| 出版日期 | Book 2013 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-02249-4 |
| isbn_softcover | 978-3-031-01121-4 |
| isbn_ebook | 978-3-031-02249-4Series ISSN 1559-8136 Series E-ISSN 1559-8144 |
| issn_series | 1559-8136 |
| copyright | Springer Nature Switzerland AG 2013 |
|Archiver|手机版|小黑屋|
派博传思国际
( 京公网安备110108008328)
GMT+8, 2025-8-17 03:39
发表于 2025-3-21 16:04:58
