Abnormal Event Detection in Videos using Spatiotemporal Autoencoder

We present 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 labels as l...

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Veröffentlicht in:	arXiv.org 2017-01
Hauptverfasser:	Yong Shean Chong, Tay, Yong Haur
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Architecture Artificial neural networks Image detection Neural networks Object recognition
Online-Zugang:	Volltext
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