Particle Filter-Based Prediction for Anomaly Detection in Automatic Surveillance

Particle Filter-Based Prediction for Anomaly Detection in Automatic Surveillance

Automatic surveillance of abnormal events is a major unsolved problem in city management. By successful implementation of automatic surveillance of abnormal events, a significant amount of human resources in video monitoring can be economized. One solution to this application is computer vision tech...

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Bibliographic Details
Main Authors: Xinwen Gao, Guoyao Xu, Shuaiqing Li, Yufan Wu, Edvins Dancigs, Juan Du
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Event detection
particle filters
video surveillance
signal processing algorithms
optical flow
Online Access:https://ieeexplore.ieee.org/document/8779642/

Internet

https://ieeexplore.ieee.org/document/8779642/

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