Anomaly Detection in Video Surveillance

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 t...

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Bibliografski detalji
Glavni autor:	Wang, Xiaochun (Autor)
Autor kompanije:	SpringerLink (Online service)
Format:	Elektronički e-knjiga
Jezik:	engleski
Izdano:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Izdanje:	1st ed. 2024.
Serija:	Cognitive Intelligence and Robotics,
Teme:	Computer vision. Data mining. Image processing > Digital techniques. Machine learning. Pattern recognition systems. Computer science. Computer Vision. Data Mining and Knowledge Discovery. Computer Imaging, Vision, Pattern Recognition and Graphics. Machine Learning. Automated Pattern Recognition. Theory and Algorithms for Application Domains.
Online pristup:	https://doi.org/10.1007/978-981-97-3023-0
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

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Chapter 1 Introduction
Chapter 2 Mathematical Preliminaries for Video Anomaly Detection Techniques
Chapter 3 Probability Based Video Anomaly Detection Approaches
Chapter 4 k-Nearest Neighbor Based Video Anomaly Detection Approaches
Chapter 5 Gaussian Mixture Model Based Video Anomaly Detection.

Anomaly Detection in Video Surveillance

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