| 期刊全稱 | Anomaly Detection in Video Surveillance | | 影響因子2023 | Xiaochun Wang | | 視頻video | http://file.papertrans.cn/168/167460/167460.mp4 | | 發(fā)行地址 | Gives solutions to automatically process data, understand data, and discover anomaly patterns.Presents problems of video-based anomaly detection coding with OpenCV.Provides a comprehensive coverage of | | 學(xué)科分類 | Cognitive Intelligence and Robotics | | 圖書封面 |  | | 影響因子 | .Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value. The key advantage of writing the book at this point in time is that the vast amount of work done by computer scientists over the last few decades has remained largely untouched by a formal book on the subject, although these techniques significantly advance existing methods of image and video analysis and understanding by taking advantage of anomaly detection in the data mining community and visual analysis in the computer vision community. The proposed book provides a comprehensive coverage of the advances in video based anomaly detection, including topics such as the theories of anomaly detection and machine perception for the functional analysis of abnormal events in general, the identification of abnormal behaviour and crowd abnormal behaviour in particular, the current understanding of computer vision development, and the application of this present understanding towards improving video-based anomaly detection in theory and coding with OpenCV. The book also provides a perspective on deep learning on human | | Pindex | Book 2024 |
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