Category:    Computers (Other)     Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video (Springer Theses) free ebook download

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Author(s): Olga Isupova Date: 2018 Format: pdf Language: English ISBN/ASIN: 3319755072 Pages: 1 OCR: Quality: ISBN13: Uploader: tvladb77 Upload Date: 1/12/2021 12:23:32 AM     To download click on link in the Links Table below                                                                        Description: Click to see full description 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 identifying sudden behavioural changes. Behaviour analysis and anomaly detection are key components of intelligent vision systems. Anomaly detection can be considered from two perspectives: abnormal events can be defined as those that violate typical activities or as a sudden change in behaviour. Topic modelling and change-point detection methodologies, respectively, are employed to achieve these objectives. The thesis starts with the development of learning algorithms for a dynamic topic model, which extract topics that represent typical activities of a scene. These typical activities are used in a normality measure in anomaly detection decision-making. The book also proposes a novel anomaly localisation procedure. In the first topic model presented, a number of topics should be specified in advance. A novel dynamic nonparametric hierarchical Dirichlet process topic model is then developed where the number of topics is determined from data. Batch and online inference algorithms are developed. The latter part of the thesis considers behaviour analysis and anomaly detection within the change-point detection methodology. A novel general framework for change-point detection is introduced. Gaussian process time series data is considered. Statistical hypothesis tests are proposed for both offline and online data processing and multiple change point detection are proposed and theoretical properties of the tests are derived. The thesis is accompanied by open-source toolboxes that can be used by researchers and engineers. Links Table     Title Link Password Size (MB) Thank to Inform Admin Del 2937104 Book https://nitroflare.com/view/4FCAA2159F31... GetPremium2SupportMe 7.14 tvladb77 X Title Link Password Size Reason Dead link New format   Those who downloaded this book also downloaded the following books: Comments New comment:

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