| 書(shū)目名稱(chēng) | Contextual Analysis of Videos | | 編輯 | Myo Thida,How-lung Eng,Paolo Remagnino | | 視頻video | http://file.papertrans.cn/237/236909/236909.mp4 | | 叢書(shū)名稱(chēng) | Synthesis Lectures on Image, Video, and Multimedia Processing | | 圖書(shū)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 |
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