Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

• Κύριος συγγραφέας: Isupova, Olga (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Optical data processing.; Artificial intelligence.; Computational intelligence.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Artificial Intelligence.; Computational Intelligence.

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for...