Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

• Main Author: Isupova, Olga (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: 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...

Table of Contents:

• Introduction
• Background
• Proposed Learning Algorithms for Markov Clustering Topic Model
• Dynamic Hierarchical Dirlchlet Process
• Change Point Detection with Gaussian Processes
• Conclusions and Future Work.