Abnormal Event Detection in Surveillance Videos Using Spatiotemporal Autoencoder

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Abnormal Event Detection in Surveillance Videos Using Spatiotemporal Autoencoder

This research presents an efficient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detection and recognition, especially in images. However, convolutional neural networks are supervised and require...

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Bibliographic Details
Main Author:	Chong, Yong Shean
Format:	Final Year Project / Dissertation / Thesis
Published:	2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utar.edu.my/3627/ http://eprints.utar.edu.my/3627/1/ESA%2D2019%2D1406689%2D1.pdf

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