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SVAS: Advanced Video Event Detection by TABASSUM SARWAR ISE-2016-20 is a document available to read on EtoBox.

What is SVAS: Advanced Video Event Detection about?

This document summarizes a research paper that proposes a Surveillance Video Analysis System (SVAS) to automatically learn, detect, and infer complex video events from surveillance footage. SVAS introduces an Interval-Based Spatio-Temporal Model (IBSTM) to model events. It uses hybrid machine learning methods, including Threshold Models, Bag of Actions models, and Markov Logic Networks. The system aims to reduce human intervention through learning capabilities while still allowing human input. Experimental

Author

TABASSUM SARWAR ISE-2016-20

Language

EN